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Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Technical Writer to write and edit enterprise documentation that empowers our customers to use Fivetran and understand how our data warehouse, database, and data lake products work. You’ll collaborate with engineers, product managers, support engineers, and other technical writers. You join a friendly team of technical writers distributed among our international offices. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Documentation-as-code tools, including Markdown, Git, GitHub, and CI/CD workflows Data platforms such as Snowflake, Databricks, and BigQuery Cloud storage services such as Amazon S3, ADLS, and GCS Collaboration and project management tools such as Jira and Slack What You’ll Do Create and maintain clear, accurate product documentation and release notes that help customers succeed. Review and refine customer-facing content, including error messages and UI text. Use a docs-as-code approach to co-author documentation with engineers, product managers, and contributors across the company. Improve existing documentation by ensuring technical accuracy, clarity, and consistency. Collaborate with a global writing team to define and evolve documentation standards, style, and terminology. Partner with engineers, SMEs, and cross-functional teams to deliver best-in-class technical documentation. Contribute to style guides, templates, and other shared resources that raise the bar for all company content. Act as a writing resource for other teams, helping improve content quality across the organization. Skills We’re Looking For Extensive expertise in data warehouse and data lake documentation: 8+ years of experience documenting data warehouses, databases, data lakes, and cloud applications for a US-centric audience. Deep technical knowledge: Experience with complex data lake and data warehouse technologies, cloud platforms (AWS, Azure, GCP), data pipelines (ETL/ELT), and replication techniques. Scripting, automation, and AI proficiency: Skilled at leveraging scripting, automation, and AI tools to streamline documentation workflows and enhance technical content delivery. Exceptional communication skills : Proven ability to craft clear, concise, and accurate documentation; strong technical editing abilities; impeccable grammar; and consistent application of style guides. Documentation leadership: Expertise in content planning, creation, and review processes, with a track record of implementing best practices that elevate documentation quality. Project management and organizational skills: Experience leading documentation projects, mentoring writers, managing competing priorities, and adapting to change while delivering high-quality results. Collaboration and customer focus: Strong history of working with engineers, writers, and globally distributed teams, translating customer needs into improved documentation that drives customer success. Bonus Skills​ Experience working at technology companies with globally distributed technical writing teams documenting enterprise-grade products or services. Understanding of the nuances of complex documentation lifecycles and experience working in an Agile environment. Experience working in a docs-as-code environment, GitHub, Markdown, CLI, and HTML. Understanding of cloud object storage, metadata catalogs such as AWS Glue and Unity Catalog, and open table formats such as Apache Iceberg and Delta Lake. Experience documenting configuration and deployment workflows for containerization and orchestration platforms such as Docker, Podman, and Kubernetes. # LI-HYBRID #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. ABOUT THE ROLE As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$327.6K– CA$468K OTE + equity United States: $226.1K – $323K OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

— Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement. — Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on GitLab's Security Factory: Code Security team, you help developers find and fix security issues. Those issues live in the code they write and in the open source components they depend on. Your work spans complementary parts of a complete security analysis. On the dependency analysis side, you teach the analysis engine what a project depends on. You parse dependency manifests, lockfiles, and SBOMs so the engine knows which libraries and frameworks are in play and how the code uses them. You also extend the service that turns security advisories into automated merge requests that update vulnerable dependencies. On the vulnerability detection side, you grow GitLab's security analysis engine with hybrid analyzers that blend rule-based detection and AI reasoning. You build and apply the tooling that develops, evaluates, and ships those analyzers, and you measure how well they find real problems. That work also expands coverage of the libraries, frameworks, and AI agent tooling that real-world applications are built on. These threads reinforce each other. What a project depends on, and how its code uses those dependencies, are parts of one picture, and this team works across all of it. We make thoughtful use of AI-assisted development tools in our daily work. We expect you to use them effectively and with good judgment. What you do Act as the directly responsible individual (DRI) for team initiatives from design through delivery, shipping with minimal guidance in partnership with the technical lead Bring systems built by one engineer to team ownership through documentation, tests, and shared review Design and ship analyzers that pair deterministic analysis capabilities with AI-driven analysis, and build the evaluation harnesses that measure their false positives and missed findings against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes detection rules mapped to CWE and the test fixtures that prove they work. Package those analyzers for every place GitLab runs them, including CI jobs, AI agent workflows, and command-line tools, with findings reported in GitLab's standard security report formats Design and ship the manifest, lockfile, and SBOM parsing that tells the static analysis engine what a project depends on, and extend it to new ecosystems and formats Ship features across the automated remediation service that turns security advisories into dependency update merge requests, from sandboxed updates to merge request creation Solve technical problems of high scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, Engineering stakeholders such as Frontend and UX, and partner teams such as Code Scanning and Composition Analysis Mentor Intermediate engineers through code review and pairing, and maintain our internal standards for style, maintainability, and best practices through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Substantial professional experience writing and testing production code in a systems language, particularly Go and/or Rust, with depth in at least one. We use both, plus Ruby on the remediation side and Python for some analyzers, and value willingness to work across them. Familiarity with package managers and dependency management in one or more language ecosystems, such as npm, Maven, pip, Bundler, or Cargo. Experience building tooling around them is better still. Demonstrated application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) and the software supply chain A track record of taking ownership of ambiguous problems and shipping with minimal guidance, with the self-motivation and organizational skills suited to a remote, largely asynchronous environment Demonstrated capacity to communicate clearly and concisely about technical problems, and to write design proposals that bring a team to a decision Helpful experience Experience evaluating AI-driven detection against labeled data, including measuring false positives and missed findings Experience with performance optimization at scale Hands-on program analysis experience, such as parsing, ASTs, or data-flow analysis Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience with containerized workflows and CI/CD (we use Docker heavily) About the team The Security Factory: Code Security team builds GitLab's code-level security scanning capabilities, spanning static application security testing and dependency scanning. We help developers find and fix security issues in both the code they write and the open source components they depend on, as early as possible. We work closely with the Static Analysis team on GitLab's SAST engines, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, Canada; Remote, Israel; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer on GitLab's Security Factory: Code Scanning team, you help developers find and fix security issues. Those issues live in the code they write, and you set the technical direction for the static analysis engine that finds them. Your work spans two complementary parts of a complete security analysis. On the engine side, you shape how the static analysis toolkit models a program: parsing source into intermediate representations, resolving symbols, building call graphs, and tracking tainted data across files and languages. You define the architecture and specifications the team builds against, and you delegate component specifications within them to engineers and to the AI agents that implement them. On the evaluation side, you build and apply tooling that tests, measures, and validates what the engine finds against benchmark applications with known vulnerabilities. What the engine can model and how we measure what it finds are parts of one picture. As a Staff engineer you hold that picture, shape the long-range technical goals of the team, and raise the bar for every engineer on it. We build the engine with AI agents that write and review code from written specifications, under human direction. We expect you to direct that work effectively and with good judgment, and to help the team do the same. What you do Act as the directly responsible individual (DRI) for the team's highest-scope initiatives from design through delivery, shipping large features with minimal guidance and shaping the long-range goals of the team Bring systems built by one engineer to team ownership through documentation, tests, and shared review Set the technical direction for the AI-assisted tooling that implements, reviews, and validates engine changes and findings, design the checks that decide whether an agent-written change or generated result is fit to merge, and measure detection quality against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes static application security testing (SAST) rules mapped to CWE and OWASP, and the test fixtures that prove they work. Own the architecture of the program model (parsing, symbol resolution, intermediate representations, call graphs, and taint and data-flow analysis) and of the pipeline that turns source code into findings, and define how both extend to new languages and frameworks Solve technical problems of the highest scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, UX, and partner teams such as Code Security and Composition Analysis Mentor all engineers on the team through code review and pairing, remove blockers to their autonomy, and shepherd the definition and improvement of our internal standards through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues Define the overarching architecture and specification documents for the engine, delegate component specifications within them, and drive their implementation by AI agents and engineers working independently through phased plans, small reviewable units of change, and specifications kept in lockstep with the code Build and maintain the harness, agent instructions, and agentic skills that keep agent-written code trustworthy, including separate coding and reviewing agents, rules and tests the coding agents cannot change, independent review panels of agents from different model providers, and performance, API, and dependency gates, with risky changes escalated to human review Stay current with research in program analysis and security, run AI-assisted research and spikes, and turn the findings into prototypes, proposals, and upstream contributions, including responsible disclosure of findings in open source projects What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Extensive professional experience writing, testing, and reviewing production code in Rust, Go, or a comparable systems language, with depth in at least one. The engine is Rust, the analyzer wrapper is Go, and the monolith integration is Ruby, and we value willingness to work across them. Experience with performance optimization and with containerized workflows and CI/CD (we use Docker heavily) A deep program analysis and static analysis background, such as parsing and ASTs, intermediate representations (SSA, control-flow and call graphs), taint and data-flow analysis, type inference, incremental and fixpoint computation, or writing detection rules, with the ability to read, evaluate, and apply the research literature Deep application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) Demonstrated capacity to communicate clearly and concisely about complex technical, architectural, and organizational problems, and to write architecture and design specifications that bring a team to a decision A track record of taking ownership of ambiguous, team-wide problems and shipping them from concept to production with minimal guidance, with specific, regular async updates on progress, blockers, risks, and next steps Experience defining a system's overarching architecture, delegating component specifications to engineers and AI agents, and getting them implemented reliably A track record of mentoring engineers, raising a team's technical bar, and influencing technical direction by achieving consensus with peers and leadership Helpful experience Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience designing guardrails for agent-written code, such as mutation testing, fuzzing, and CI gates the coding agent cannot modify A record of engaging with the research community, such as publications, tool papers, or upstream open source contributions in program analysis or security About the team The Security Factory: Code Scanning team develops GitLab's SAST capabilities for customer software repositories. We work closely with the Code Security team on scanning rules & flows, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: North America Coder builds enterprise software that keeps developers in flow. As a Senior Customer Support Engineer, you will help customers solve complex technical issues, get unstuck faster, and build with confidence. You will work closely with Product, Customer Success, and Enterprise Account Managers to resolve urgent issues, improve support workflows, and turn customer feedback into better product experiences. This is a highly visible role on a growing team, with direct impact on how customers experience Coder.   What you’ll do here - Reproduce and debug customer issues using existing tools, test environments, or custom reproduction setups - Solve incoming technical support requests in a timely manner, including urgent, high-severity cases - Communicate clearly and tactfully with customers throughout the support lifecycle - Gather context, provide diagnostic steps, share resolution guidance, and follow up after issues are resolved - Identify and communicate product usage trends, bugs, and feature requests - Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls - Document customer activity in accordance with internal and external security standards - Guide and mentor new team members on support processes and procedures - Contribute to product documentation, customer knowledge base articles, and best practice guides - Improve support processes, tools, and workflows in collaboration with the broader team - Participate in a periodic on-call rotation for production-down issues   What we’re looking for - Based in the US West Coast timezone - 5+ years of customer support engineering experience, or a comparable customer-facing technical role, preferably with critical software products - 5+ years of experience supporting enterprise customers - 2+ years of experience diagnosing production network connectivity and performance issues - Strong problem-solving, analytical, and troubleshooting skills - Clear, thoughtful communication skills, both verbal and written - Experience with Terraform - Experience with major cloud platforms, distributed systems, microservices architecture, and containerization technologies such as Kubernetes - Experience with a scripting language, such as Bash, Python, or Ruby, to automate reproduction environments and support workflows - Ability to read complex code for troubleshooting - Experience with GitHub - Experience with REST APIs and command line tools - Strong organization, attention to detail, and ability to learn new technologies quickly - Experience working in a startup environment - A customer-first mindset and a strong instinct for automation, process improvement, and efficient resolution strategies   Bonus tacos if you have - DevOps Engineering, Software Engineering, or Systems Administration experience - Software-defined networking experience, such as Tailscale - Experience supporting engineering teams and the tools they use every day ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast , we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering® , the rich storytelling of Dungeons & Dragons® , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. The Digital Innovations Team (DigIT) is changing how Wizards develops, delivers, and manages the digital systems behind our games — for players, retailers, and the studios that develop our worlds. We are seeking a Principal Software Engineer who can guide product ideas through every stage with agentic AI — from defining the problem with business partners, to developing the system, to deploying it in production, and then improving it based on actual data. This job is not for those who have only observed AI changes from a distance. We need a hands-on creator. Someone who has directly shipped product to production by agentic AI, can provide the code and performance assessments, and can discuss in detail what was successful, what did not succeed, and what they would do differently. If your AI experience is primarily slides and architectural drawings, this is not the right role. About the Role You will be responsible for the technical direction of an initiative and the related product surface area, direct tech direction and product direction with/without PM support. You are answerable for what the team delivers, how quickly it adapts, and the business outcomes that result. You will build products using agentic AI as your default development approach, leveraging the harness engineering and guardrails the team has developed. You contribute to evolving these patterns alongside peers, but your primary focus is shipping product. You understand where the technology performs well versus where it only demos effectively. You have informed opinions based on production experience about evaluations, guardrails, cost, latency, determinism, and the engineering methods needed to deliver AI products responsibly at scale. What You'll Do: Guide product concepts through the entire process with agentic AI. Starting from outlining the problem alongside product and business collaborators, moving to prototype development, to a data-informed launch, and then refining based on actual usage data. You are responsible for the full journey, not only a segment of it. Build, hands-on with agentic AI. Keep close to the code. Deliver production-quality agent systems, analyses, prompts, and supporting services on your own. Define the reference point through achievements, not words. Direct the build process through data-driven insights. Lead product ideas as testable hypotheses. Initiate tracking early and confirm success criteria with or with not the PM before beginning coding. Base decisions on actual data concerning what to prioritize, change, or remove. Ensure the feedback loop is as short as feasible. Contribute to the department's agentic AI harness engineering alongside peers. Apply, stress-test, and improve shared patterns — LLMs, agents, Skills, MCP, eval frameworks, guardrails — through real production use. Bring back what works and what doesn't from the field. Raise the engineering bar on architecture, code review, test strategy, observability, evals, and incident quality. Treat engineering excellence as a baseline expectation, not an optional initiative. Lead position, influence people and product decisions. Make your EM and PM more effective at their jobs. Contribute to the hiring bar. Lead technical interviews, calibrate the AI-capability signal in our hiring loop, and mentor the next layer of senior and staff engineers. What You'll Bring: Direct experience creating agentic AI systems. You have developed, deployed, and improved agentic systems in real-world settings, beyond demos or proofs of concept. You can describe the code you authored, the tests you designed, the prompt and tool usage changes you made, the cost and latency considerations you evaluated, the failure types you managed, and the metrics you used to choose the next release. Interviews will involve a hands-on agentic AI task. Over 10 years of full-stack software engineering experience. At least 3 years in a Tech Lead, Staff, or Principal role responsible for guiding the technical direction of a team or program. Product-engineer approach. You transform product ideas into operational, monitored, live software. You are comfortable prioritizing alongside PM or direct Product direction on your own, making product tradeoffs on the fly, and relying on metrics to guide iteration. You do not need a fully-detailed ticket to begin. Deep proficiency across the stack. Modern JavaScript / TypeScript and at least one of Go, Python, or C#. You write production code, not just review it. Strong systems and infrastructure foundation. AWS at scale, containerization, GitLab/GitHub CI/CD, PostgreSQL and data modeling, REST / gRPC / GraphQL API development, test automation, and a real point of view on observability and reliability. Architectural judgment. You can defend a build decision, change your mind when the evidence warrants it, and write the build doc that brings the rest of the team along. Business and product literacy. You can sit with a creative director, a retail partner, or a finance collaborator and have a conversation that is not purely technical. You can articulate business impact and tradeoffs without losing technical rigor. Outstanding communication and collaboration. You make engineers around you better. You raise standards without becoming a bottleneck. You handle disagreement directly and well. Bachelor’s degree or equivalent experience. Computer Science, Information Technology, or comparable work experience. Nice to Have: Experience leading or contributing to platform / horizontal services (search, notifications, identity, eventing, workflow, data platforms) consumed by multiple product teams. Experience with Product Lifecycle Management (PLM). Experience with Kubernetes, Akamai, Terraform, or equivalent infrastructure-as-code tooling. Experience operating in a tri-lead (TL / EM / PM) or similar matrixed engineering model. Foundational knowledge of Magic: The Gathering, Dungeons & Dragons, or the tabletop gaming space. Compensation and benefits may vary based on location and role. At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodation with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600 — $259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment Security Architecture | Cloud | AI Security | Enterprise Platforms We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems. Key Responsibilities Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk. Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls. Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services. Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms. Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows. Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services. Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls. Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments. Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness. Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background. Required Qualifications 15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level. Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments. Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud. Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs. Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls. Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle. Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations. Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams. Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience. Preferred Qualifications Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments. Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems. Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments. Development or automation experience in Python, C++, Java, or similar languages. Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement. Penetration testing, adversarial security, or attacker-minded design experience. Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a Senior DevOps Engineer, ideally with experience leading other DevOps specialists, to join our team. In this role, you'll help build and maintain reliable cloud infrastructure for our client, a major payment processing solution provider serving over 275,000 U.S. businesses. You’ll use your GCP and Azure expertise to drive DevOps processes, modernize legacy systems, and ensure the security, observability, and availability of our cloud platform. 🟩 What's in it for you: Work with GCP cloud infrastructure, automation, and CI/CD, with additional exposure to Azure Help modernize cloud infrastructure for a business-critical payment platform, improving its reliability and observability Strengthen your communication and collaboration skills by working closely with US-based teams and client stakeholders ✅ Is that you? 10+ years of DevOps experience, including 5+ years working with GCP and Azure Strong hands-on experience with cloud infrastructure, networking, automation, and CI/CD, with a primary focus on GCP Hands-on experience with Terraform, Git, Docker, Kubernetes, and Linux administration Experience using Datadog for monitoring and observability Strong understanding of security, Infrastructure as Code (IaC), containerization, and cloud monitoring Proven troubleshooting skills in high-load, mission-critical environments Ability to translate business needs into actionable technical tasks and plans Strong communication and collaboration skills, including the ability to work effectively with technical teams and client stakeholders Strong sense of ownership and commitment to quality and clear documentation Proactive approach to improving DevOps tools, practices, and standards Upper-Intermediate English level Desirable: Experience with MuleSoft Experience with .NET applications, microservices, and event-driven architectures Scripting experience with Bash or Python Familiarity with information security, compliance, and disaster recovery Experience mentoring or leading DevOps engineers Experience with additional performance monitoring and system management tools 🧩Key responsibilities and your contribution In this role, you’ll apply your DevOps expertise to build, automate, and maintain reliable, secure, and scalable cloud infrastructure. Design, automate, and maintain cloud infrastructure using IaC tools Support the migration of on-premises systems and services to the cloud and help modernize legacy systems Build, maintain, and optimize CI/CD pipelines to support reliable releases Implement and maintain monitoring and observability using Datadog and other relevant tools Manage access, identities, and permissions across cloud and DevOps environments Maintain platform reliability and security, including SSL and deployment management Collaborate with project managers, engineers, and client stakeholders to align DevOps work with business needs and turn requirements into actionable tasks Troubleshoot infrastructure and deployment issues, respond to incidents, and participate in on-call rotations as needed Promote DevOps best practices, improve processes, and share knowledge across the team Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $163,920 — $196,712 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking an early-career developer to join our Quantitative Trading and Research Operations team, which sits within our broader Quantitative Strategies department. The successful candidate will support the  Quantitative Strategies department by developing, maintaining, and refactoring code used in research and trading, with a particular focus on improving the reliability and maintainability of existing programs. This individual will work closely with researchers and follow established development and code review processes, including regular interaction with the firm’s Quality Assurance Committee. The ideal candidate enjoys hands-on development, troubleshooting, and improving existing systems within an evolving production environment. Responsibilities Partner with the Quantitative Strategies department to develop, maintain, and improve code supporting research and trading activities Review, refactor, and update legacy programs to meet established coding standards and improve reliability, maintainability, and computational performance Provide ongoing maintenance and support for both existing systems and newly developed tools Develop and maintain test cases to validate code changes and help prevent errors and system failures Follow established development and code review processes, working regularly with the Quality Assurance Committee and incorporating feedback from senior leaders across Technology and Data Analyze system financial and computational performance and execute trades Support engineering initiatives related to trading system implementation, computational resource utilization, build and deployment processes, containerization, and evaluation of cloud computing Requirements Bachelor's degree in computer science or a related field Strong Python skills Strong program design fundamentals and refactoring experience Knowledge of CI/CD process Comfortable working in the command line on Unix Comfortable using version control, such as Git General familiarity with PowerShell Familiarity with SQL and other enterprise database structures Excellent interpersonal and communication skills Coursework in cybersecurity is a plus Familiarity with cloud compute and general infrastructure design is a plus Knowledge of R and MATLAB and familiarity with writing test cases is a plus Ability to work independently and collaboratively in a dynamic, fast-paced environment This role requires commuting into our Rowayton, CT office Mondays through Fridays. Base Salary Range The anticipated salary range for this position is $90,000 to $125,000.  The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles. pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

Location: Bucharest, Romania; Warsaw, Poland; Belgrade, Serbia; Bratislava, Slovakia; Sarajevo, Bosnia and Herzegovina; Erevan, Armenia; Sofia, Bulgaria; Zagreb, Croatia; Prague, Czechia; Chișinău, Moldova, Republic of; Budva, Montenegro; Tbilisi, Georgia Workplace: remote Are you a QA Automation Engineer with strong TypeScript and Playwright experience looking for a long-term, fully remote opportunity in fintech? Join a fast-moving project focused on modern payment and disbursement workflows, where you’ll help build robust automation coverage and ensure the quality and reliability of a high-impact financial platform. We’re looking for someone with 4+ years of QA Automation experience; fintech experience and Russian language skills are highly preferred, with availability to collaborate during EST hours. Responsibilities: Design, build, and maintain automated testing frameworks across web applications, APIs, backend services, and third-party integrations. Develop and execute unit, integration, regression, and end-to-end automated test suites to ensure system reliability, stability, and overall quality. Create and maintain automated tests for complex workflows, edge cases, data integrity, and state transitions across services. Integrate and manage automated testing within CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins. Conduct performance, scalability, and load testing across core services and infrastructure to identify bottlenecks and reliability risks. Identify, document, and track bugs, performance issues, and system weaknesses while partnering closely with engineering, DevOps, and product teams to improve QA processes, automation coverage, and testing standards. 4+ years of experience in QA Automation, including designing, building, and maintaining automated testing frameworks. Strong proficiency in TypeScript for developing automation scripts and test frameworks, with hands-on experience with Playwright. Strong understanding of testing best practices, test strategy, software development lifecycles, and modern QA methodologies. Hands-on experience working with CI/CD pipelines and containerized environments such as Docker. Previous experience in fintech, financial services, payments, banking, or other financial technology environments is highly preferred, particularly where accuracy, reliability, security, and data integrity are critical. Strong verbal English communication skills, excellent attention to detail, and availability to work and collaborate effectively with distributed teams during EST (Eastern Standard Time) hours.

Location: USA - Remote Workplace: Remote About Us Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. ABOUT THE ROLE Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data. Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We’re hiring our first dedicated Product Security Engineer to make that work systematic. You’ll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You’ll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you’ll fix the problem yourself. Other times you’ll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly. You’ll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You’ll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering https://grc.engineering/, compliance (SOC 2) goals, audits, and corporate security. This role is a new one at Close. You’ll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk. OUR STACK Our backend is primarily Python, with Flask and FastAPI services and TaskTiger https://github.com/closeio/tasktiger and Temporal handling much of our asynchronous work. We expose REST https://developer.close.com/ and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis. Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native. We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines. For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path. We love open sourcing our code and ideas on our GitHub https://github.com/closeio and on The Making of Close https://making.close.com/, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark https://github.com/closeio/socketshark, TaskTiger https://github.com/closeio/tasktiger, LimitLion https://github.com/closeio/limitlion and ciso8601 https://github.com/closeio/ciso8601. AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting. YOU ARE - An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better. - Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems. - Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix. - An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise. - AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials. - Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner. - Comfortable working across the business. You’ll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix. - Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress. You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you. YOU WILL The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include: - Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations. - Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don’t. - Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere. - Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues. - Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps. - Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill. - Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team. - Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review. - Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence. Tech you’ll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose. BENEFITS - Compensation: Competitive pay plus an organization-wide goal-based bonus - Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. - 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay - Parental Leave: Paid leave for primary and secondary caregivers - Sabbatical: A 1-month paid sabbatical every 5 years with the team - Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability - 401k (US residents): We match your contributions up to 6%, vested immediately OUR VALUES Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others LEARN MORE Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.  Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo https://www.close.com/demo-site! OUR HIRING PROCESS We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead, you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments. In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure, as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams. This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams. WHAT YOU’LL DO: CLOUD SECURITY ENGINEERING - Lead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure. - Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows. - Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations. - Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services. - Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity. - Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs. SECURE DEVELOPMENT & ARCHITECTURE ENABLEMENT - Partner with engineering teams to make services secure by default, embedding security into development workflows, CI/CD pipelines, and cloud-native deployments. CROSS-FUNCTIONAL RESPONSIBILITIES - Collaborate with Security Monitoring, Compliance/GRC, Architecture, DevOps, Platform Engineering, and ML Infrastructure. - Participate in communicating security advisories, best practices, and updates to Replit’s customers. - Support incident investigations as a cloud security subject-matter expert. REQUIRED SKILLS & EXPERIENCE: - 7+ years of experience in cloud engineering, with 3+ years in a senior or lead role. - Hands-on experience with CSPM tools (Wiz, Lacework, Prisma, Orca, SCC, etc.). - Deep expertise in GCP security (IAM, VPC, KMS, GKE, Cloud Logging). - Experience securing and governing SaaS platforms and identity integrations. - Operational experience with infrastructure vulnerability management across cloud and container environments. - Working knowledge of AWS and/or Azure security services and configurations. - Experience with container and Kubernetes security across GKE, EKS, or AKS. - Strong IaC security experience with Terraform, Pulumi, or similar tooling. - Familiarity with compliance standards (SOC 2, ISO 27001, PCI DSS). PREFERRED QUALIFICATIONS: - Experience supporting engineering teams in building secure-first, cloud-native or PaaS environments. - Background securing AI/ML pipelines, model-serving infrastructure, or developer platform services. - Experience in high-growth technology or cloud-native product companies. - Experience with securing AI/agentic systems and sensitive data pipelines. - Automation/scripting with Python. - Relevant certifications (e.g., GCP Professional Cloud Security Engineer, AWS/Azure security certs). WHAT WE VALUE: - Problem-solving mindset — Ability to break down complex security and operational challenges into clear engineering solutions. - Autonomy — Comfortable leading initiatives, collaborating effectively, and driving outcomes with minimal oversight. - Communication excellence — Able to translate deep technical concepts for engineers, executives, and enterprise customers. - Continuous learning — Passion for staying current with AI security, cloud-native advances, and emerging threats. - Automation-first approach — Belief in reducing operational toil and building scalable, self-healing systems. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Access (L2). About the job This position is an engineering role within Twilio’s Cloud Native Foundations Team, suited to an engineer focused on identity, governance, and automated access control across multi-cloud environments. Our team manages identity federation, least-privilege access, and automated provisioning for hundreds of accounts across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). As an L2 engineer, you will help design, build, and operate access controls and platform security tools at scale. You'll get hands-on with multi-cloud IAM, contribute to Terraform-based infrastructure automation, and write code to ensure secure, seamless developer access—using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CUSTOMER'S SHOES: Help design, build, and operate automations and access tools that streamline developer workflows while keeping multi-cloud environments secure. Work with security and technical leadership to turn well-scoped tasks into working code. BE AN OWNER (CODE QUALITY): Participate in code reviews and follow established patterns, testing standards and policy-as-code frameworks across the platform. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Support multi-cloud access infrastructure spanning AWS, Azure, and GCP accounts using Infrastructure as Code (Terraform). Help maintain least-privilege IAM policies, identity federation, role provisioning, and automated lifecycle workflows across hundreds of cloud accounts. Help maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines. CHAMPION ENGINEERING HEALTH: Build awareness of secure architectural practices and IAM best practices. Flag access drift, technical debt, security vulnerabilities, and platform issues to your team as you encounter them. GROW AND COLLABORATE: Actively seek feedback and mentorship from senior engineers, participate in sprint planning, and share what you learn with peers as you grow into a more senior role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Experience: 1–2+ years of professional software engineering or DevOps/Platform engineering experience, with practical exposure to multi-cloud environments, Identity & Access Management (IAM), or platform automation. Modern Development Workflow: Practical experience with, or a strong desire to learn, AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to help write code, automate testing, and support debugging workflows. Infrastructure as Code & Automation: Practical experience or familiarity with Terraform, Harness, or similar IaC tools to manage cloud resources and access permissions programmatically. Multi-Cloud Infrastructure: Experience with cloud environments, including basic exposure to account management, IAM permissions, or core services in at least one major provider— AWS (e.g., IAM, Organizations, SSO/Identity Center), Microsoft Azure (e.g., Microsoft Entra ID/Azure AD, RBAC, Subscriptions), or Google Cloud Platform (GCP) (e.g., Cloud IAM, Workload Identity, Projects). General familiarity with multi-account/multi-project cloud architecture is a plus. Language Proficiency: Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang), with a willingness to build proficiency across the rest. Security & Governance Mindset: Solid understanding of core security concepts (authentication, authorization, least-privilege principles, secrets management) and an eagerness to build self-service, developer-friendly platform tooling. Desired: Familiarity with centralized identity federation, SAML, OIDC, or Okta integration with cloud service providers. Hands-on experience with containerized workloads ( Docker , Kubernetes ) or managing access to Kubernetes clusters (EKS/AKS/GKE RBAC). Interest in automated cloud governance tools, account vending machines, or identity lifecycle management at scale. Coursework or personal projects involving distributed systems, cloud security, or API development. Enthusiasm for working across multi-cloud environments and expanding hands-on depth across AWS, Azure, and GCP over time. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00 - $146,200.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): 123,760.00-154,700.00 Based in the San Francisco Bay area, California: 137,520.00-171,900.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/31/2026  but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. As a Senior Backend Engineer on Tenant Controls , you'll design, implement, and evolve backend capabilities for a global platform that millions use. You'll solve problems of high scope and complexity, influence technical and product direction, and improve system quality, reliability, and performance beyond assigned feature work. Working across product, frontend, infrastructure, data, and security, you'll make pragmatic architectural trade-offs and partner with product managers and designers to deliver value to users in a remote-first, asynchronous environment. What you’ll do Design and ship moderate to complex backend features with minimal guidance, choosing between modular-monolith code, shared components, and independently operated services. Influence team objectives, technical direction, and long-range goals, partnering with product managers and designers to shape requirements around user needs. Define backend standards for style, maintainability, testing, application programming interfaces (APIs), and operational readiness, advocating for quality, security, availability, and performance. Mentor associate and intermediate engineers, remove technical blockers, and improve delivery practices through code and design reviews. Diagnose and prevent performance and reliability issues at scale, participate in incident response, and act as a technical owner where appropriate. Experiment with and integrate agentic AI into production engineering workflows, evaluate its effectiveness, and coach others on responsible use and sound judgment. What you’ll bring Strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Proficiency in modern backend languages and a deep understanding of systems programming, with the ability to learn and adapt rather than mastery of a single language. Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Ability to lead through influence, technical judgment, and clear asynchronous written communication, connecting product needs with technical decisions and directing your own work. Experience building or operating agentic AI systems in production, including loops, tool use, and error-handling strategies that support reliability at scale, beyond prompt engineering alone. Helpful, but not required: experience with high-throughput distributed systems, concurrency or profiling; containerized production operations (such as Kubernetes); database performance (PostgreSQL, ClickHouse, schema evolution or partitioning); large-scale modular monoliths or event-driven systems; public technical communication, open source maintenance or developer-focused software as a service (SaaS). About the team You'll join Tenant Controls within Production Engineering, where we own application-level rate limiting on GitLab.com. We build the framework that defines, counts, and observes every application rate limit and migrate existing implementations onto it. Our mission is to give GitLab.com a single way to define, configure, and observe these limits, so operators can understand them during an incident and change them without a deploy. The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. Poland base salary range: 272,000zł - 408.000zł How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for a Senior DevOps / Platform Engineer to develop and operate GoMining's cloud platform. The primary focus of this role is GCP and Kubernetes , infrastructure and application delivery automation, and the reliability and security of production services. You will maintain and improve our existing infrastructure, contribute to the development of the next generation of our platform, and help product teams ship changes safely and efficiently. Responsibilities Develop and operate infrastructure in GCP , including GKE, virtual machines, networking, load balancers, storage, and managed services. Manage Infrastructure as Code with Terraform : develop modules, manage state and dependencies, ensure reproducible changes, and identify configuration drift. Operate Kubernetes : upgrade clusters and platform components, configure autoscaling, workload placement, network policies, and resource allocation. Develop CI/CD and GitOps using GitLab CI and Flux / Argo CD, automating builds, checks, deployments, controlled releases, and rollbacks. Build observability across metrics, logs, distributed tracing, and actionable alerting. Define and improve SLIs/SLOs together with engineering teams. Troubleshoot production incidents and performance issues, conduct root cause analysis, and eliminate recurring failure patterns. Implement least-privilege access, environment and service isolation, secure secrets management and rotation, and infrastructure audit controls. Maintain backup processes and regularly validate recovery of critical data and infrastructure according to agreed RPO/RTO . Help engineering teams prepare services for production, including health checks, resource configuration, telemetry, and deployment procedures. Optimize cloud infrastructure usage and costs while maintaining reliability requirements. Maintain infrastructure documentation, operational runbooks, and recovery procedures. Requirements Strong hands-on experience independently operating production infrastructure and Kubernetes , including upgrades, troubleshooting, and disaster recovery. Strong experience with GCP , including GKE, Compute Engine, VPC, IAM, and Cloud Storage; good understanding of Cloud SQL, Cloud Logging, and Cloud Monitoring. Hands-on experience with Terraform , including modules, remote state, locking, importing existing resources, and safely applying infrastructure changes through CI. Deep knowledge of Kubernetes and containerization : Deployments, StatefulSets, Services, Ingress, storage, requests/limits, probes, autoscaling, RBAC, and NetworkPolicy. Experience with Helm and Kustomize . Strong Linux administration skills, preferably Debian/Ubuntu: processes, systemd, filesystems, disks, and resource troubleshooting. Strong networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, routing, NAT, load balancing, and firewalls. Ability to troubleshoot connectivity issues across applications, Kubernetes clusters, networks, and cloud services. Experience building CI/CD pipelines, preferably with GitLab CI , and strong understanding of Git and GitOps principles. Understanding of runner permissions, secrets protection, and production deployment controls. Automation skills with Bash and Python , including maintainable infrastructure scripts and API integrations. Experience with monitoring, logging, and alerting using tools such as Prometheus, Grafana, or Cloud Monitoring . Practical experience operating PostgreSQL and understanding Redis and RabbitMQ, including availability, connections, replication or clustering, backup, and recovery. Strong understanding of cloud security principles: least privilege, service accounts, Workload Identity, secrets management, network segmentation, and access auditing. Ability to independently deliver infrastructure changes to a validated production result, explain technical trade-offs, and collaborate effectively with Engineering and Security teams. Nice to Have Experience with Flux CD, Argo CD, Ansible, and HashiCorp Vault . Experience with OpenTelemetry and distributed tracing. Experience migrating infrastructure between clouds or Kubernetes clusters, including database migrations with limited downtime. Experience designing disaster recovery strategies and conducting recovery exercises. Cloud cost optimization and capacity planning experience. Experience with DigitalOcean, Hetzner, or AWS . Ability to read and troubleshoot JavaScript / TypeScript applications. Experience operating financial or payment services with strict requirements around access control, auditing, reliability, and data integrity. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).