Вакансии

Location: Bengaluru, India You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! You Will Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more Develop and expand our portfolio to support most popular Cloud apps (200+) Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. About Us At DBSync we provide opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System We genuinely care We do not waste time on manual or mundane task We have a fun environment We own it We are experts on what we do We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. - Best Relationship- Winter 2024 - Leader Americas Winter 2024 - Best Results - Winter 2024 - Best Usability - Winter 2024 About the Role We are looking for a candidate who will be responsible for working directly with development, support, implementation, and other internal teams as well as external vendors and clients. The Head of Engineering will be responsible for overseeing and managing all aspects of the engineering department within the organization. This role requires strong leadership skills, technical expertise, and a strategic mindset to drive innovation and ensure the successful delivery of engineering projects. You will work directly with the CEO/CTO and will act as both a technology and business expert, making decisions that will impact the current and future operations of the company. Roles and Responsibilities: Manage multiple engineering projects and ensure successful delivery of products on time and within budget Lead a team of engineers and provide guidance on technical issues Collaborate with other teams such as product, design, and customer support to ensure smooth product development and delivery Ensure coding standards, best practices, and security protocols are followed by the team Hire, train, and mentor engineers and support staff Evaluate and recommend new technologies and methodologies to improve the engineering process Build and maintain strong relationships with vendors and partners to ensure projects are completed successfully Must have successfully delivered at least two projects end-to-end. Oversight of the full software development lifecycle required for a group of developers and testers in an agile environment. Leading staff to implement clients in the most efficient, time driven manner. The manager is responsible for the total quality of the technical deliverables in their domain, making sure that they are secure, defect-free. Mentoring technical staff during projects to ensure continuous improvement. Includes working with each resource to define and act upon career paths and obtain appropriate training. Is responsible for the hiring, training, staff development, performance appraisals, corrective action and pay review of technical personnel. Developing and establishing department standards and procedures. Recommends the most efficient ways to ensure best implementation practices of new upgraded products. Evaluates and reports progress and results. Skills and Qualifications Required: Must have hands-on experience in Java, Front end technologies like Bootstrap, jQuery, AWS, Modular software development, multi-tenant architecture and highly scalable systems. Proficient with cloud technologies (AWS, Azure, Google Cloud). Must have a minimum of 8-10 years of experience demonstrating required skills and competencies in engineering BSc/BA in Computer Science, Engineering or a related field; MS/MBA or other relevant graduate degree is a plus. Must have hands on Full stack architecture experience Have in-depth conceptual functional and non-functional knowledge of Docker Containers, Kubernetes Cluster management and orchestration, microservice architectures, DevOps practices and tooling. Previous leadership or management experience required Strong communication skills are a requirement, as this position must build consensus with numerous internal and external resources and effectively influence the technical direction of projects in order to be successful. Ability to determine the best implementation approach/methodology for assigned project(s) based on established guidelines and best practices and determine appropriate strategy for ensuring desired objectives. Must be very flexible with learning new technology quickly. Location: Bangalore (Remote) Shift Timings: U.K. Shift (1:30 PM IST - 10:30 PM IST) For more information about DBSync, visit www.mydbsync.com. Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB

Location: Tel Aviv Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Application Security Engineer at Via, you will be a key member of the team, responsible for ensuring the security of Via's applications throughout the software development lifecycle. You will work closely with development, operations, and product teams to identify and mitigate vulnerabilities, promote secure coding practices, and build a robust application security program. What You’ll Do: Perform security assessments, including penetration testing, vulnerability scanning, and code reviews, to identify security weaknesses in applications. Collaborate with development teams to remediate identified vulnerabilities and implement secure coding practices. Define and implement application security testing strategies, including static analysis, dynamic analysis, and software composition analysis. Use AI (LLMs, agents, MCP-based tooling) to improve AppSec work such as vulnerability triage, code review, remediation and detection, and set best practices for doing so safely. Design and build security tooling and automation, such as CI/CD integrations, internal services and AI-assisted workflows. Contribute to the development and maintenance of application security policies, standards, and procedures. Research and evaluate new application security tools and technologies. Monitor application security metrics and provide regular reports on the security posture of applications. Participate in incident response activities related to application security. Champion a security-first culture within the engineering organization. Who You Are: A Bachelor's degree in Computer Science or a related field is a plus. Minimum of 3 years of experience as an Application Security Engineer or a similar role. Strong understanding of application security concepts, including OWASP Top 10, CWE Top 25, and SANS Critical Security Controls. Experience with various application security testing tools and techniques (e.g., SAST, DAST, SCA). Proficiency in at least one scripting language (e.g., Python, JavaScript, Ruby). Experience with secure coding practices and vulnerability remediation. Familiarity with CI/CD pipelines and DevOps practices. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with cloud platforms (AWS is an advantage). Compensation and Benefits Our product impacts millions of users around the world  providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener. Competitive compensation package which includes base salary and equity Health insurance with a discount for family members Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station Career development and growth opportunities Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of worldclass engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for an IT Systems Engineer to build and secure the identity and access management (IAM) and mobile device management (MDM) systems for employees who build agents and internal tools every day. You will design access and device policies that let them ship quickly without exposing company data, and automate the work with scripts, API integrations, and AI tooling alongside our IT and Security engineers. This is a hybrid role based in San Francisco, New York City, or Austin, with three days a week in the office. What you’ll do: Configure Okta, including application integrations, single sign-on (SSO), multi-factor authentication (MFA), groups, access policies, and automated provisioning Build onboarding, role-change, and offboarding automation that keeps employee access current Configure and maintain MDM for device enrollment, software deployment, patching, encryption, and compliance controls Build scripts, API integrations, and automation across Okta, MDM, Google Workspace, Slack, and IT service management systems, using AI to write and troubleshoot code and reviewing its output before it ships Partner with Security on least-privilege access that lets employees connect agents and internal tools to company systems safely, along with device security standards and access reviews, and serve as the escalation point for complex identity and device issues What you need: 7+ years of hands-on IT systems engineering experience, with deep expertise in either IAM or MDM and working knowledge of the other Administered Okta and integrated applications using Security Assertion Markup Language (SAML), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM) Configured and operated an MDM platform such as Jamf, Kandji/Iru, or Intune Wrote automation in Python or Bash against APIs, and used AI to build and troubleshoot it, reviewing generated code before deploying Bonus if you: Managed Okta or other IT systems as code with Terraform, including version-controlled configurations, code review, and configuration drift management Supported AWS identity and access configurations Built or hosted a project on Vercel Benefits: Competitive salary and meaningful equity Comprehensive health, dental, and vision coverage Generous paid time off and parental leave Professional development stipend Daily lunch and commuter benefits (SF office) Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000.00 - $288,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams and customers - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Build and run tailored demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company - Strong Python, JavaScript and systems fundamentals - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about shipping AI agents in production NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $160,000-185,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $165,000 to $190,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working. We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see. Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions. Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly. Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples. Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it. Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online. Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs. Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high. What You Bring To The Team: 6+ years of professional software development experience, including building and operating production backend systems Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Experience with AWS, Azure, or other public cloud environments Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK) Experience building evaluation pipelines or datasets for ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth #BI-REMOTE Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager focused on Enterprise Privacy, you'll collaborate with Privacy Engineering, Infrastructure, Trust and Safety, Legal, Security, GTM, enterprise and platform product teams, and our cloud partners to evolve and extend the controls that enterprises, regulated industries, and governments require in order to bring their most sensitive work to Claude. You will synthesize complex and fast-changing business needs and partner closely with the teams that retain, protect, and govern customer data across Anthropic's first-party platform and Claude on AWS, GCP, and Azure. Together, you will ensure that privacy guarantees are enforced by our systems and are verifiable by our customers. This is a high-visibility role with substantial scope. Anthropic offers layered controls over how customer data is retained and accessed, and you will build the product surface that lets customers understand, govern, and verify these controls. This includes retention and access controls, access logs and compliance reporting, customer-managed keys and custody, data residency, and self-serve user interfaces. Your stewardship of these privacy capabilities earns the customer trust that is essential to Anthropic's mission. Key responsibilities Deeply understand external customers with strict data handling requirements, from a bank's CISO to a healthcare system's compliance team to a government contractor's auditor, and the internal Trust and Safety, Legal, and GTM stakeholders whose needs pull in different directions. Partner with Privacy Engineering to ship controls that unblock regulated customers, balance impact against engineering cost, and deliver at Anthropic speed. Co-develop solutions with design-partner customers and their compliance teams, so shipped changes pass real audits, not just hypothetical ones. Work with engineers to steer architecture and investment decisions with a long-term lens: balancing build versus buy versus rely-on-the-cloud-provider, and sequencing custody, residency, and transparency across clouds that ship on their own timelines. Define success metrics for privacy controls, from preventing configuration incidents by design, to the speed at which customers can independently answer questions about their own data. Define and iterate on the self-serve experience for compliance and security teams, expanding what an organization can check about its own posture, settings, and access history without having to wait on support tickets. Gather and assess competing stakeholder needs and communicate prioritization trade-offs clearly to senior leadership, balancing privacy risk, safety requirements, legal exposure, and commercial impact. When something goes wrong, own what customers hear from us and when. Work with engineering leads to decide how retention, access, residency, and custody controls are enforced, so that our infrastructure keeps the promises we make. Minimum qualifications Experience taking a new product area from ambiguity to a durable roadmap, and shipping controls that enterprises or regulators depend on. A track record of driving platform capabilities that balance the needs of multiple customer segments and internal stakeholders. The judgment to make prioritization trade-offs between customer demand, risk, and engineering cost, and the clarity to communicate them. The ability to internalize how privacy, safety, legal risk, and commercial impact interact, and translate that understanding into a coherent product vision. Experience building highly collaborative and effective relationships with engineers and key cross-functional stakeholders. You have equal credibility providing design doc feedback to engineers, negotiating a control with a CISO without losing the relationship, and explaining a risk trade-off to leadership. Preferred qualifications 8+ years of product management experience, with deep exposure to privacy, security, or compliance products. Built or scaled audit logging, key management, data residency, retention, or access governance products for regulated customers. Shipped controls across multiple cloud providers or partnered with AWS, GCP, or Azure at the platform level. Worked with certification, attestation, or trust center programs (SOC 2, ISO 27001, FedRAMP). Used Claude, Claude Code, or comparable agentic tools and formed opinions about the data controls they should offer. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI). You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership. This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery. What you'll do Use Claude Code, GitLab Duo, and other coding agents as your primary development environment for planning, implementation, refactoring, testing, reviews, and documentation. Run multiple agents in parallel on well-scoped tasks, critically review their output, and own every line that reaches production. Build and maintain the team's agent harness, including shared AGENTS.md conventions, skills, slash commands, hooks, subagent definitions, and continuous integration checks. Measure and share what works, publish reusable patterns, and retire those that don't. Ship agents and multi-step workflows for account research, success planning, scoping, status reporting, and customer onboarding. Package them as skills and plugins for non-engineers using Claude, Claude in Slack, and GitLab Duo Agent Platform. Build MCP servers and connectors for governed access to GitLab, Salesforce, Gainsight, Kantata, Thought Industries, Gong, Snowflake, and other enterprise systems. Add evaluations, tracing, and human-in-the-loop checkpoints to keep internal and customer-facing agents measurable, auditable, and safe with customer data. Evolve the CX Application Platform's gateway, Amazon Web Services (AWS) infrastructure, including Elastic Container Service (ECS), Relational Database Service (RDS), and Lambda, Terraform configuration, application scaffold, and deployment path. Own applications such as PS Compass, Congregate, and GitLab University and its integrations, documenting build-versus-buy and consolidate-or-sunset decisions. Ship production-quality Python and TypeScript through GitLab continuous integration and continuous delivery (CI/CD), with tests, observability, security review, and runbooks. Design every application for handoff, with documentation, monitoring, and shared ownership. Prototype with Customer Success, Digital Success, Professional Services, Education Services, and Training in days, not quarters. Help CX team members bring their own applications to production, and turn field learning into reusable reference implementations, development paths, and enablement. Contribute upstream to GitLab and share product feedback with Product and Engineering. Mentor engineers and non-engineers on agentic development and raise the team's code review bar. What you'll bring Experience building and operating production software, owning multi-quarter work from ambiguity to production, choosing reusable platform solutions over one-off customization where appropriate, and designing for handoff. Daily, hands-on use of coding agents such as Claude Code, Cursor, Codex, GitLab Duo, or similar on production work. You can show how they've changed what you ship and how you maintain quality. Experience building with large language models (LLMs) beyond chat, including tool use, MCP servers, agent loops, context and retrieval design, prompt and workflow design, and evaluations. Strong Python skills with FastAPI or Flask and TypeScript skills with Vue or React, including application programming interface (API) design, authentication, authorization, and secure handling of customer and business data. Hands-on experience with AWS ECS, RDS, and Lambda, Terraform, Docker, and applications running behind single sign-on (SSO), such as Okta. Experience integrating enterprise systems through Representational State Transfer (REST) and GraphQL APIs, and fluency with Git, merge requests, and CI/CD. Experience translating non-engineering stakeholders' workflows into technical plans and writing clear asynchronous design documents, decision records, and enablement materials. You align with GitLab's values and are willing to use GitLab for your own work. Optional experience includes agent harness customization; the GitLab Development Kit, Duo Agent Platform custom agents and flows, or AI Catalog publishing; enterprise agent governance and data controls; customer success, professional services, or learning platforms such as Salesforce, Gainsight, Kantata, or Thought Industries; professional services economics and customer success metrics; Snowflake or similar warehouses; and technical writing, talks, or open source contributions on agentic development. We welcome interest from candidates with varying levels of experience; you don't need to meet every nice-to-have to apply. About the team CX Platform Engineering builds and runs CX Applications for Customer Success, Digital Success, Professional Services, Education Services, and Training. We own the CX Application Platform's gateway and infrastructure alongside our application portfolio: GitLab University, the Foundational Onboarding Agent in GitLab Duo Agent Platform, Congregate, PS Compass, and Customer Wins. We build the first version with the people doing the work, turn what we learn into a reusable pattern, then hand it off so it runs without us. We reward leverage, not heroics, and don't leave tools dependent on one person. 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 (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We are hiring a Senior Solutions Engineer to partner with Account Executives on enterprise accounts. You will own the technical side of the sales cycle—qualifying use cases, leading discovery and architecture, running demos and proofs-of-concept, and supporting early adoption and expansion. You will act as a trusted advisor to networking, security, platform, and IT stakeholders. This is a senior individual-contributor role that blends deep networking and security expertise with consultative selling. You will co-own pipeline outcomes, help close and expand enterprise deals, and feed real customer requirements back into product and go-to-market. This role is a strong fit for a senior SE who wants to stay close to the technology, work enterprise deals from qualification through early adoption, and help customers replace complicated networking—and privileged/AI access—with something simpler and more secure. Key Responsibilities Partner with Account Executives to identify, qualify, and close new enterprise logos and expansion opportunities, confirming technical fit aligned with business goals. Lead technical discovery, solution architecture, demos, and proofs-of-concept (POCs) that help customers make confident buying decisions. Design Tailscale architectures for hybrid, multi-cloud, and on-premises environments, including identity-based access and secure connectivity patterns. Align Tailscale PAM for identity-aware access with session recording, and Aperture as an AI gateway for LLM/API access. Translate technical capabilities into clear business value, including security outcomes, operational simplicity, and time-to-value. Serve as a trusted advisor across multi-stakeholder deals, guiding implementation and collaborating with Customer Success to drive best-practice adoption. Support security reviews and common enterprise diligence (architecture reviews, questionnaires, and compliance discussions). Provide structured feedback to Product, Engineering, and GTM teams based on enterprise use cases, blockers, and competitive dynamics. Assist in building reusable demo environments, solution blueprints, and enablement assets that raise the quality and consistency of enterprise engagements. Stay current on zero-trust networking, privileged access, identity integrations, cloud networking, and AI access/governance so you can position the full Tailscale portfolio accurately and competitively. What We Are Looking For 5–7+ years in a customer-facing Solutions Engineer, Sales Engineer, or Solutions Architect role within networking, security, infrastructure, or related enterprise software. Proven experience co-owning pipeline and influencing quota outcomes with Sales on both new business and expansion. Deep understanding of zero-trust networking, secure connectivity, and IAM integrations (SSO, SAML, OIDC, SCIM). Strong networking fundamentals and troubleshooting skills: TCP/IP, DNS, routing, firewalls, NAT traversal, TLS/HTTPS, and related concepts. Hands-on systems administration and troubleshooting across Linux and at least one of macOS or Windows. Hands-on architecture experience with AWS, GCP, and/or Azure, including hybrid environments. Experience managing cloud and network infrastructure using Infrastructure as Code (Terraform preferred for policy/ACL; Pulumi, Ansible, or CloudFormation also relevant). Excellent communication skills, with the ability to explain complex systems clearly and translate technical features into business value for both practitioners and executives. Experience running technical evaluations, customized demos, and POCs in enterprise or upper mid-market environments. Comfort operating in a high-growth, fully distributed environment with a high degree of ownership and competing priorities. Willingness to travel occasionally (approximately 10–20%) for customer meetings, workshops, and internal collaboration. Nice to Have Experience selling or architecting zero-trust, SASE, ZTNA, VPN, PAM, or secure networking solutions. Familiarity with privileged access patterns: JIT access, session recording, least-privilege to SSH/databases/Kubernetes, and replacing shared credentials. Familiarity with AI gateways, LLM access governance, MCP/API proxying, or centralized model/provider key management. Hands-on scripting or automation experience (Python, Bash, Go, or similar) for demos, POCs, or integrations. Knowledge of the competitive landscape in zero-trust, PAM, and AI access control. Experience supporting security reviews, architecture diligence, and compliance discussions (SOC 2, HIPAA, PCI) in a pre-sales context. Previous exposure to Tailscale, WireGuard, or similar mesh-networking technologies. Experience creating reusable architectures, demo environments, or SE playbooks. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. US Pay Range (OTE) $250,000 — $300,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: 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 the Senior Director, Global Subject Matter Expertise (SME) Solutions Architecture, you will build and lead GitLab's Subject Matter Expert organization: three regional teams in AMER, EMEA and APJ, each covering Security & Compliance, Platform, Core DevSecOps, and AI & Competitive. This team is the depth layer of GitLab's technical selling model. It wins the most complex opportunities, scales product expertise into the Account SA team, and turns field insight into product direction. This is a leader of leaders role. You will manage three regional SME Managers, not individual contributors, and develop them as leaders in their own right. The SME organization is new, so we are looking for a transformational leader who thrives in ambiguity, builds structure where none exists, and has a track record of standing up high-performing technical teams in fast-growing, evolving businesses. You will work as a peer to GitLab's regional Solutions Architecture Senior Directors and partner closely with Sales, Customer Success, Product, Engineering, Product Marketing and Sales Operations. Together you will make sure GitLab brings the right depth to the right opportunities, and that what the field learns shapes what GitLab builds next. What you'll do Set the strategy, operating model and global standards for the SME organization, aligned to the VP Global SA and GitLab's go-to-market plan. Build the resourcing model from product-level bookings and consumption targets. Size each product group by region based on where the plan needs specialist coverage. Act as the field's senior partner to Product Management and Engineering. Run a structured feedback loop that shapes roadmap, launch readiness and early-access programs. Hire, mentor and develop regional SME Managers and, through them, the full global team. Own the engagement model with the regional SA Senior Directors, Post-Sales SAs and Customer Success: triage rules, coverage thresholds, the closed-won handoff to Post-Sales SAs, and escalation paths. Create and improve upon the processes, metrics and KPIs for SME-led technical evaluations, workshops, demos and Proofs of Value. Partner with CRO staff, regional sales leaders and AVPs on product-category performance, forecast risk and competitive strategy. Partner with Enablement to drive  field readiness for new product launches with Product Marketing and Enablement, including Duo Agent Platform, security and platform offerings. Build strong relationships with key customers at the technical sponsor and executive level. Use AI to change how the team works, including deal research, demo creation, PoV automation and knowledge sharing. Drive organizational transformation by finding gaps early, building structure where none exists, and leading change without waiting for top-down direction. What you'll bring 5+ years second-line leadership experience (managing managers) in Solutions Architecture, Sales Engineering or a technical specialist organization. Experience building or scaling a specialist, overlay or global SA team in enterprise SaaS, DevSecOps, security or developer tools. A record of tying technical-team design to bookings and consumption outcomes, with the data to show it. The ability to lead through ambiguity and rapid organizational change, bringing clarity and direction while strategy is still forming. Strong relationships with Product and Engineering leaders, and a history of shaping roadmap from field insight. Fluency across the software development lifecycle, application security (SAST, DAST, SCA), cloud platforms (AWS, GCP, Azure), Kubernetes and AI-assisted development, including LLM evaluation and production deployment patterns. Executive presence with technical practitioners, managers and C-level stakeholders. Proven ability to partner across Sales, Partners, Product, Engineering, Marketing, Customer Success and Professional Services. A self-starting, entrepreneurial approach. You don't wait for a playbook; you write it. How you'll be measured Global product-category commit attainment and consumption growth. Time from technical win to first workload in customer’s production environment on SME-engaged opportunities compared with non-engaged opportunities. SME coverage and engagement speed on the top 10% of opportunities. Account Team capability lift: fewer escalations and more deals handled without an SME over time. Product impact: field sentiment on the product feedback process along with field-sourced requirements adopted into the roadmap. Team health: hiring against plan, manager development, engagement and retention. About the team The Subject Matter Expertise (SME) organization is part of GitLab's Solutions Architecture team, a trusted technical partner for the field. SMEs bring the deepest product expertise to GitLab's most complex opportunities and carry customer feedback into conversations about product direction, enablement and value messaging. The team is distributed and all-remote, and relies on clear communication, strong judgment and shared operating practices across regions. 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 $244,200 — $409,500 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: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical initiatives end to end, working across services, APIs, data layers, and integration boundaries to deliver complete solutions. Your primary strength is building reliable backend systems, designing scalable APIs, and shaping cloud native and event driven architectures. You understand how the broader system fits together and can confidently work across frontend and platform boundaries when needed. Beyond your individual technical output, you function as a technical anchor within your squad. You help drive technical direction, mentor peers, coordinate dependencies, and ensure the team can consistently deliver high quality software without creating unnecessary knowledge silos.   THE DAY-TO-DAY ⚒️ - Own complex initiatives end to end Drive multi sprint technical initiatives from architecture through implementation, production deployment, and ongoing evolution. - Build reliable backend systems Design and evolve services, APIs, data models, and asynchronous workflows that support complete customer outcomes. - Work across system boundaries Navigate frontend applications, backend services, data layers, and platform integrations to deliver complete solutions. - Set technical direction Bring deep backend expertise while shaping architecture decisions and engineering patterns across the broader system. - Make durable technical decisions Evaluate complex tradeoffs around consistency, performance, reliability, and security, balancing immediate delivery with long term scalability and maintainability. - Anchor the squad Break down complex work, coordinate technical dependencies, unblock others, and help the team maintain delivery momentum. - Drive engineering excellence Raise the bar for testing, CI/CD, observability, architecture, code quality, and pragmatic technical debt management. - Partner across functions Work with Product, Design, QA, SRE, platform teams, and engineering groups to translate customer problems into reliable solutions. - Level up the team Mentor engineers through architecture discussions, design reviews, code reviews, pairing, and knowledge sharing. YOUR SUPERPOWERS⚡️ - Engineering depth and breadth Six or more years of software engineering experience, with deep expertise in backend engineering and strong working competency across the broader stack. - End to end ownership A proven record of owning complex technical initiatives from architecture through production deployment and operation. - System design expertise Strong understanding of service architecture, APIs, distributed systems, cloud services, and maintainable production software. - Data modelling and databases Strong experience designing and evolving data models, schemas, and access patterns, with an understanding of relational databases, query performance, indexing, migrations, and data integrity. - Asynchronous and event driven systems Experience building reliable background processing, messaging, and event driven workflows across services and integration boundaries. - Production reliability The ability to reason about failure modes, concurrency, retries, data consistency, and performance across services and integration boundaries. - Technical leadership The ability to guide engineers through uncertainty, establish effective architecture patterns, and raise engineering standards. - Integration fluency Comfort navigating unfamiliar systems and safely evolving APIs, service contracts, and integrations, including the frontend applications that depend on them. - Engineering excellence Strong experience with automated testing, CI/CD, observability, monitoring, and pragmatic technical debt management. - Collaborative communication The ability to explain tradeoffs, challenge assumptions constructively, and align Engineering, Product, Design, QA, and platform stakeholders. BONUS POINTS 🌟 - Cloud and event driven systems Cloud native applications using serverless services, messaging, asynchronous workflows, or event driven architecture. - Infrastructure and delivery Infrastructure as Code, CI/CD pipelines, deployment strategies, or production operations. - Backend breadth Experience across multiple backend languages, frameworks, or runtime environments, and confidence choosing appropriate tools for the problem. - Security and tenancy Authentication, authorization, tenant isolation, and secure handling of customer data. - Frontend competency Working experience with modern frontend frameworks, application state, and API integration. - Production observability Monitoring, tracing, logging, metrics, incident diagnosis, and performance tuning. - Technical growth Experience acting as a technical lead or clear progression toward broader Staff level leadership. OUR STACK 🛠️ - Backend and platform systems include Node.js, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational databases, CI/CD, and modern observability tooling. Frontend applications include Angular and modern web technologies. - You do not need deep expertise in every technology we use. We are looking for deep backend expertise, strong software engineering fundamentals, and confidence applying your experience across languages, frameworks, and system boundaries. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are looking for a Senior GRC Analyst to join our Technical Compliance team to ensure Garner’s compliance posture across security frameworks such as ISO 27001, SOC 2, HITRUST, and HIPAA. As a Senior GRC Analyst you will run our internal audits, guide our external assessments, and partner with teams across Engineering, Product, People, and Legal so that our controls are designed well, operating effectively, and continuously improving. Our Technical Compliance team safeguards Garner’s sensitive healthcare data and protects the trust of our members, clients, and partners by maintaining a strong control environment and regulatory compliance. The work you do here has a direct impact on our ability to win and retain enterprise customers, expand into new lines of business, and scale securely as we grow. Where you will work: This role is open to remote candidates across the U.S. For candidates based in New York City, the position follows a hybrid schedule with in-office work required Tuesday, Wednesday, and Thursday each week. What you will do: Manage and support our compliance certifications, including SOC 2, HITRUST, and ISO 27001 audits and run control testing across the audit lifecycle Serve as the subject matter expert across the company on our compliance frameworks Serve as the primary point of contact for external auditors and assessors Manage Garner’s Security and Privacy trust center Maintain the risk register and drive risk identification, scoring, and reporting Manage the maintenance of our compliance policies, standards, and procedures Report on our compliance posture to senior leadership Scale our GRC function with AI and automation, building quick wins and scoping requirements for Engineering to fully automate the rest What you will bring to the team: 5+ years of experience in GRC, IT audit, or information security compliance Prior experience with HITRUST, SOC 2, and ISO 27001 audits Hands-on experience with control design, evidence collection, and remediation in a cloud-native engineering environment Proven ability to adapt your communication style across engineers, operators, and executives A GRC Engineering mindset with prior experience using scripting and LLMs to automate repetitive tasks A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Industry certifications such as CISA, CISM, CISSP, CRISC, or ISO 27001 Lead Auditor preferred Technologies we use: AWS, Okta, Datadog, Retool, Gitlab, Vanta, Claude Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $155,000 - $185,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: United Kingdom; Poland; Portugal; France; Spain; Germany; Italy; The Netherlands Workplace: Remote Recognised on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.   WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... This is a high-impact L4 TPM role based in New York City, starting in one of Duolingo's fastest-moving pillars: Growth. You'll partner closely with engineering and product leadership to drive complex, cross-functional initiatives that span multiple teams and require someone who can bring structure, alignment, and momentum. Beyond Growth, Duolingo has a growing engineering and product presence in New York, and this role puts you at the center of it, building relationships with senior leaders on the ground and taking on high-ROI initiatives across the org as they come. This is a role for someone who operates at the strategic level: identifying opportunities, shaping programs, and driving outcomes that matter to the business. If you thrive in ambiguity, build trust quickly across engineering and product, and want to have real impact at a company whose product is used by hundreds of millions of people, this role is for you. 🧠  You will... Define and drive the roadmap for high-impact, cross-functional initiatives in the Growth pillar and beyond, aligning engineering and product leadership around a shared vision, sequencing the work, and holding teams accountable to outcomes. Lead organizational change management as engineering teams adopt new ways of working — building alignment, communicating progress to executives and ICs alike, and helping teams internalize new processes and tooling. Lead the delivery of strategic, high-impact cross-functional initiatives from conceptualization to launch, operating with significant autonomy across multiple workstreams. Partner with engineering, product, data science, QA, and executive leadership to ensure communication and alignment; serve as the connective tissue between Duolingo strategy and day-to-day execution. Leverage deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, resolve dependencies, remove blockers, and ensure timely and smooth launches. Drive decisions when difficult tradeoffs must be made, including those with cross-organizational or company-level impact; model how to navigate hard problems with analytical rigor and a calm, decisive presence. Identify systemic issues impacting delivery efficiency company-wide and take swift, collaborative action to resolve them. Guide and develop other TPMs and engineering leads, scaling best practices across teams and continuously improving how the organization operates. ✅  You have... Proven experience as a TPM, Engineering Lead, or Engineering Manager. B.S. or M.S. in Computer Science or equivalent degree or experience. Demonstrated experience leading large-scale technical transformation programs with measurable organizational impact - you've shifted how engineering organizations think and work, not just shipped projects. Strong executive presence and influence in a matrix environment - able to build conviction among skeptics, align competing priorities across senior leadership, and drive decisions without direct authority. Deep technical credibility - enough to challenge architectural assumptions, spot delivery risks early, and earn the trust of strong engineers. Proven ability to build and implement detailed plans that account for ambiguity, dependencies, and technical complexity - and to re-plan quickly when things change, without losing team confidence or momentum. A track record of standing up new programs or practices from scratch in ambiguous, high-visibility environments. Ability to relocate to NYC. ⭐  Exceptional candidates will have... Strong knowledge of software engineering, systems engineering, or similar hands-on technical experience, in addition to program management experience. Strong conceptual fluency in LLM-based products and AI infrastructure - enough to ask the right questions, challenge technical assumptions, and identify delivery risks. Experience running programs that include machine learning, large datasets, or AI/ML infrastructure. Experience working with AWS at scale. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $181,600 — $272,400 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Задачи: — Разработка и развитие backend-сервисов на NestJS — Проектирование и реализация API и межсервисных взаимодействий — Деплой и эксплуатация сервисов в Kubernetes — Работа с асинхронными сценариями (RabbitMQ) — Использование Redis для кэширования и pub/sub — Работа с базами данных MySQL, MongoDB, DynamoDB — Работа с облачной инфраструктурой AWS (в рамках эксплуатации и развития backend-сервисов) — Участие в code review и технических обсуждениях — Взаимодействие с QA, iOS, Android и Design командами Требования: — Опыт от 8 лет в роли Backend-разработка (НЕ фриланс) — Опыт работы с контейнеризацией и оркестрацией K8s от 3 лет — Опыт работы от 2 лет с AWS: EKS, RDS, DynamoDB, S3 — Опыт Backend-разработки highload сервисов от 2 лет — Опыт работы от 6 лет с Node.js и TypeScript: event loop, streams, memory management — Опыт работы от 1 года с гибридным хранилищем: MySQL, Redis, MongoDB, DynamoDB – каждая БД под свою задачу — Опыт с распределёнными системами: очереди, консистентность, отказоустойчивость — Опыт использования LLM в работе обязательно — Гражданство РФ / РБ Условия: — Fully remote work format — Оплачиваемый отпуск 28 календарных дней — 100% оплата больничного — Работа в продуктовой IT-компании

Задачи: — Разработка и развитие backend-сервисов на NestJS. — Проектирование и реализация API и межсервисных взаимодействий. — Деплой и эксплуатация сервисов в Kubernetes. — Работа с асинхронными сценариями (RabbitMQ) и кэшированием (Redis). — Поддержка и оптимизация баз данных: MySQL, MongoDB, DynamoDB. — Участие в code review и взаимодействие с QA, iOS/Android и Design командами. Требования: — 8+ лет опыта в backend-разработке (не фриланс). — 6+ лет опыта с Node.js и TypeScript. — 3+ года опыта с Kubernetes. — 2+ года опыта с AWS (EKS, RDS, DynamoDB, S3). — Опыт разработки highload-сервисов и распределённых систем. — Обязателен опыт использования LLM в работе. Условия: — Fully remote. — 28 календарных дней оплачиваемого отпуска. — 100% оплата больничного. — Работа в продуктовой команде.

Location: New York; Detroit; Canada; Austin; Phoenix; Los Angeles; San Francisco; Dallas Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We’re looking for a Backend Engineer to join one of our teams that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: London, United Kingdom Workplace: fully About InvestEngine We're a London-based fintech on a mission to make ETF investing simple and accessible. Over 150,000 clients have trusted us with over £3.5 billion in assets — and we're just getting started. We've been featured by MoneyWeek, Finder and Forbes, and we're growing fast with big ambitions. About the Role We're looking for a Senior Backend Engineer to join our Portfolio Team and help build the core investment products our clients use every day. The team owns portfolio creation, Managed Portfolios and related portfolio operations. This is product development work: you'll turn product ideas into reliable, well-built backend features that directly shape how clients invest. You'll write high-quality code, raise the bar through thoughtful code reviews, contribute to architecture and lead projects from requirements to production. You'll work closely with Product, frontend, QA, mobile and design in a small, autonomous team with a clear roadmap. What You'll Do Design, develop and maintain backend services in Python 3.11 using Django / DRF Build features for portfolio creation, Managed Portfolios and portfolio operations Lead roadmap projects end-to-end: clarify requirements with Product, propose the technical design, break down the work and ship it Design and build RESTful APIs used by our web and mobile apps Give constructive, high-quality code reviews and help raise the team's engineering standards Take part in architecture discussions and contribute to technical decisions Work with MySQL and Redis Identify and reduce technical debt Collaborate closely with Product, frontend, QA, mobile and design Contribute to the evolution of our architecture and engineering practices What We're Looking For 5+ years of experience in backend development Strong Python skills and solid software engineering fundamentals A good understanding of software architecture and service design Solid experience with relational databases and REST API design A track record of writing clean, maintainable, well-tested code Experience leading projects or features from idea to production The ability to pick up new codebases and technologies quickly Strong ownership, organisation and a collaborative working style Familiarity with Git, CI/CD practices and modern engineering workflows English B2+ and fluent Russian Nice to Have Experience with Django or Django REST Framework (not required, since strong fundamentals matter more than an exact framework match) Experience in fintech, investing, wealth management or another regulated industry Familiarity with AWS and Docker Experience with RabbitMQ, Kafka or other message brokers Experience using AI-assisted development tools in your daily work Contributions to open source or personal side projects How We Work We're a lean, collaborative team where engineers have real influence on architecture, technical decisions and engineering culture. The Portfolio Team is strong and autonomous. We work in two-week sprints with Product involved throughout, and we have a clear 3–6 month roadmap. You'll have the freedom to make technical decisions and own meaningful parts of the product without micromanagement or unnecessary bureaucracy. What We Offer Impact from day one: work on core investment products used by more than 150,000 clients Ownership: lead projects and become the go-to backend owner for key areas of the Portfolio domain Technical growth: influence architecture and technical decisions Modern tech stack: Python 3.11, Django, MySQL, Redis, AWS, GitHub, TeamCity Remote-first and flexible: work from anywhere, at your own pace Unlimited vacation: take time off when you need it, with no fixed limits Supportive team: thoughtful, skilled colleagues who care about quality and results Hiring Process HR interview Technical interview with the Backend team Conversation with the Portfolio team leadership Gamified cognitive assessment to understand how you think and solve problems