Вакансии

Location: New York City, NY; San Francisco, CA; Seattle, WA 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 The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration — workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals — SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" Are organized enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity Location This role is based in our San Francisco, New York or Seattle office and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. 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: $180,000 — $230,000 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: Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role Overview As a Senior Software Engineer within our Platform team, you will help build and operate the platform underpinning our exchange and trading systems. You will adapt and evolve our infrastructure and platform standards to support a highly available, low-latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands-on software engineering and systems thinking. You will build tools, services and automation that support the exchange—from load-testing environments and mock integrations to monitoring and automated recovery. You will own projects from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, championing best-in-class platform standards and mentoring mid-level engineers. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. Responsibilities Design, build and maintain software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges. Design, build and maintain highly available cloud-native infrastructure, ensuring the platform scales reliably with our growing user base. Build and optimize CI/CD pipelines and developer tooling to eliminate friction in the software delivery lifecycle. Develop load-testing environments and supporting software, including mock services and integrations. Implement team-level standards for AI-augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and assist in tracking team productivity metrics. Implement and maintain platform security safeguards and compliance standards to protect the integrity of the firm’s systems. Contribute to the system observability roadmap by implementing monitoring, tracing, alerting and automation to improve operational reliability. Partner with product and engineering teams to translate technical requirements into scalable platform solutions. Mentor junior and mid-level engineers, participate in the on-call rotation, lead incident response for team-owned services and deliver engineering improvements that prevent recurring incidents. Skills 5+ years of experience in software, backend or platform engineering, with a track record of delivering production software and building scalable, cloud-native environments. Strong software development skills, including the ability to independently design, build, test and deploy services or substantial tools from scratch. Deep hands-on Kubernetes experience, including operating production workloads, troubleshooting failures, and designing for high availability and efficient scaling. Strong hands-on experience with AWS and infrastructure as code using Terraform. High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic. Understanding of distributed systems and the trade-offs between low latency, high availability, scalability and operational complexity. Experience building mature CI/CD pipelines and working with observability tools such as Prometheus, Grafana or Datadog. Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve personal development workflows. Ability to evaluate AI-generated code for security gaps or architectural errors and implement rigorous testing strategies. Proven ability to take ownership of complex projects in a fast-paced environment, proactively identifying improvements and balancing speed with architectural health. Strong communication skills and the ability to collaborate effectively with distributed engineering and product teams. Preferred Qualifications Experience in high-growth startup environments. Experience with financial systems, exchanges, real-money transactions or regulatory compliance. Background in building internal developer tools, CLI applications or infrastructure automation services. Experience developing load-testing environments, mock services or automated recovery systems. Experience leading small project groups or “squads” within a larger team. Depending on the role, your interview and onboarding e xperience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. #LI-Remote #LI-AL1 By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role Overview As a Staff Software Engineer within our Platform team, you will help define the technical direction of the platform underpinning our exchange and trading systems. You will lead the design and evolution of our infrastructure and platform standards to support a highly available, low-latency exchange, partnering closely with exchange engineers and engineering leads to enable rapid innovation without compromising stability or security. This role requires a balance of deep hands-on software engineering, systems thinking and technical leadership. You will lead complex projects that support the exchange—from load-testing environments and mock integrations to monitoring and automated recovery. You will turn ambiguous requirements into practical designs, own delivery from ideation to production and help operate the platform as the exchange goes live. The balance of coding and infrastructure work varies by project, but you should be comfortable independently developing new software as well as improving existing systems, setting platform standards and mentoring engineers across experience levels. On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or GitHub Copilot to ship production code faster while maintaining exceptional quality. Responsibilities Lead the design and development of software tools, services and automation that solve complex infrastructure, reliability and developer experience challenges. Define and evolve the architecture of highly available cloud-native infrastructure, balancing performance, reliability, security and cost as the platform grows. Set technical direction for CI/CD pipelines and developer tooling, remaining hands-on in delivering improvements to the software delivery lifecycle. Lead the development of load-testing environments and supporting software, including mock services and integrations. Establish and evolve standards for AI-augmented development, using effective prompting and validation practices to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and help teams evaluate the impact on quality and productivity. Guide the design and implementation of platform security safeguards and compliance standards to protect the integrity of the firm’s systems. Shape the system observability roadmap and lead improvements to monitoring, tracing, alerting and automated recovery. Partner with exchange, product and engineering leads to resolve architectural trade-offs, align priorities and deliver scalable platform solutions. Mentor engineers across experience levels, lead technical design discussions and raise engineering standards across teams. Participate in the on-call rotation, lead incident response for team-owned services and drive engineering improvements that prevent recurring incidents. Skills Significant experience in software, backend or platform engineering, with a track record of leading complex technical projects and delivering production software and scalable, cloud-native environments. Deep software development expertise, including the ability to independently design, build, test and deploy services or substantial tools from scratch and guide others through complex implementation decisions. Deep hands-on Kubernetes experience, including designing and operating production environments, troubleshooting complex failures, and establishing patterns for high availability and efficient scaling. Strong hands-on experience with AWS and infrastructure as code using Terraform, including making architectural decisions across complex environments. High proficiency in Java and Python; Go is a plus. You should be comfortable bridging the gap between infrastructure and application logic. Deep understanding of distributed systems and the ability to make and explain trade-offs between low latency, high availability, scalability and operational complexity. Experience shaping CI/CD and observability approaches, with hands-on knowledge of tools such as Prometheus, Grafana or Datadog. Strong proficiency in using AI collaborators such as Claude Code, Cursor or GitHub Copilot to ship production code and improve engineering workflows. Ability to evaluate AI-generated code for security gaps or architectural errors and establish rigorous testing and validation practices. Proven ability to turn ambiguous problems into a clear technical direction and deliver improvements across team boundaries, balancing immediate needs with long-term architectural health. Strong communication skills, including the ability to explain complex technical decisions, influence without formal authority and collaborate effectively with distributed engineering and product teams. Experience mentoring senior engineers and building alignment around technical standards and architectural decisions. Preferred Qualifications Experience in high-growth startup environments. Experience with financial systems, exchanges, real-money transactions or regulatory compliance. Background in designing and building internal developer platforms, tools, CLI applications or infrastructure automation services. Experience developing load-testing environments, mock services or automated recovery systems. Experience leading technical initiatives spanning multiple teams or evolving platform architecture through significant growth or change. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. #LI-Remote #LI-AL1 By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. T ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $186,701 — $233,376 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud signals, and downstream customer platforms. Own secure authentication and account flows end to end, including MFA, step-up authentication, device binding, consent, and adaptive authentication logic. Automate CIAM infrastructure and deployments using Infrastructure as Code and CI/CD pipelines, treating identity as a core platform service. Monitor, debug, and optimize CIAM services for performance, resilience, and abuse detection in high-scale environments. • What we look for Strong experience designing and implementing CIAM systems, with deep, hands-on knowledge of OAuth 2.0, OIDC, SAML, and SCIM beyond basic configuration. 5+ years of professional backend software engineering experience Strong production experience in Python or a similar backend language Experience designing APIs, automation frameworks, and distributed systems Hands-on experience building and maintaining CI/CD pipelines Experience with GitHub-based development workflows and Buildkite or similar build systems Experience with cloud-native development, preferably AWS Hands-on experience extending and integrating CIAM platforms such as Okta, Auth0, Ping Identity, ForgeRock, or Azure AD B2C using custom code, hooks, and APIs. Solid understanding of backend and distributed systems fundamentals, including API design, data modeling, latency, error handling, and observability. Experience with Infrastructure as Code and automation tools such as Terraform, plus CI/CD pipelines for deploying backend services. Strong security fundamentals applied through engineering, including access control models, token handling, encryption, MFA, and privacy by design. Clear communication skills and the ability to work closely with product, frontend, mobile, and security teams while owning backend identity services. Familiarity with tools such as Cursor and other AI-augmented development environments Base Pay Grade - P Equity Grade - USA 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud signals, and downstream customer platforms. Own secure authentication and account flows end to end, including MFA, step-up authentication, device binding, consent, and adaptive authentication logic. Automate CIAM infrastructure and deployments using Infrastructure as Code and CI/CD pipelines, treating identity as a core platform service. Monitor, debug, and optimize CIAM services for performance, resilience, and abuse detection in high-scale environments. • What we look for Strong experience designing and implementing CIAM systems, with deep, hands-on knowledge of OAuth 2.0, OIDC, SAML, and SCIM beyond basic configuration. 5+ years of professional backend software engineering experience Strong production experience in Python or a similar backend language Experience designing APIs, automation frameworks, and distributed systems Hands-on experience building and maintaining CI/CD pipelines Experience with GitHub-based development workflows and Buildkite or similar build systems Experience with cloud-native development, preferably AWS Hands-on experience extending and integrating CIAM platforms such as Okta, Auth0, Ping Identity, ForgeRock, or Azure AD B2C using custom code, hooks, and APIs. Solid understanding of backend and distributed systems fundamentals, including API design, data modeling, latency, error handling, and observability. Experience with Infrastructure as Code and automation tools such as Terraform, plus CI/CD pipelines for deploying backend services. Strong security fundamentals applied through engineering, including access control models, token handling, encryption, MFA, and privacy by design. Clear communication skills and the ability to work closely with product, frontend, mobile, and security teams while owning backend identity services. Familiarity with tools such as Cursor and other AI-augmented development environments Base Pay Grade - P Equity Grade - USA 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States Workplace: Remote We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem.   What you'll do here - Design and build product features that push the standard for remote development in self-hosted environments - Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools - Champion best practices to both internal team members and external contributors - Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations - Document the design, implementation, and operations of systems for knowledge sharing within the team - Work alongside Customer Success teams to support Coder’s enterprise user base - Work with cutting-edge AI technologies to create seamless, painless developer experiences - Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment   What we're looking for - 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) - Proficiency in building distributed systems in Go - Excellent verbal and written communication skills - Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion - You are self-motivated with a creative and analytical mindset   Our tech stack - Frontend: Typescript, React, Vite - Backend: Go, Postgres, GCP, Kubernetes, gRPC - Observability: Prometheus, Grafana - CI/CD: GitHub Actions - General: GitHub, Slack, Discord, Notion   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience with TypeScript and React - You have a background in developer tooling, platform engineering, or IaC - You have a curiosity about the latest tech trends and what is going on in the world of developer tools ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. T ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $186,701 — $233,376 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: — Разрабатывать API на Laravel — Писать микросервисы на Go для обработки статистики — Создавать интерфейсы на Nuxt 3 (Vue) — Работать с PostgreSQL и Redis — Оптимизировать производительность — Писать тесты Требования: 1. Golang • Опыт работы с Go от 1 года • Понимание горутин, каналов, контекста • Написание HTTP сервисов • Работа с PostgreSQL 2. Frontend • Vue 3 (Composition API) • Nuxt 3 (понимание SSR) • TypeScript • Адаптивная верстка Будет плюсом: • Опыт с RabbitMQ / Kafka • CI/CD (GitHub Actions, GitLab CI) • Kubernetes Условия: — Формат: онлайн для начала, далее гибрид/Астана — График 5/2

Location: Prague Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. We're looking for a Senior SDET to own quality engineering end-to-end. This is a greenfield opportunity — you'll define the strategy, choose the tools, and build the automation infrastructure from scratch. You'll work directly alongside our engineering team as the first quality engineer, so you need to be self-sufficient, opinionated, and driven. This is an 70/30 role: 70% automation, 30% exploratory and manual testing. What You'll Do Design and implement our QA strategy from the ground up Build and maintain automated test suites across API, UI, and integration layers Integrate testing into our CI/CD pipelines and own the quality gates Perform exploratory and manual testing on new features and releases Define quality metrics and report on them to the wider team Collaborate with engineers to improve testability at the design stage Leverage AI-assisted tools to accelerate test creation and coverage What We're Looking For 5+ years in SDET, QA Engineering, or similar Strong hands-on experience with modern automation frameworks (Playwright, Cypress, REST Assured, or similar) Proficiency in Typescript and Python Experience building test infrastructure from scratch — not just inheriting existing frameworks Solid understanding of CI/CD and integrating tests into pipelines (GitHub Actions, GitLab CI, etc.) Familiarity with AI-assisted testing tools and an appetite to keep up with the space Comfortable working independently without a QA team around them Nice to Have C# and/or Java experience is an advantage Experience with contract testing (Pact or similar) Performance testing exposure (k6, Locust) Accessibility testing awareness (WCAG, axe-core) Temporal.io experience Compensation starts at 150,000 CZK per month, with the final offer determined by the candidate’s seniority and experience. This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction. This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.

Location: Netherlands - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer. Skills/Job Requirements: Define and execute sales plans for your assigned territory Convey value prop and product differentiators to prospects and customers Forecast, meet, and exceed quota Through a combination of inbound and outbound leads, develop and manage leads funnel Manage business and track opportunities through CRM and other supporting tools Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering Understand the competitive market, being familiar with competing companies and their offerings Candidate Background: 5+ years of Enterprise Sales Experience Domain experience with one or more of the following required: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins)  and overall SDLC. Strong track record consistently overachieving sales targets Ability to learn new products and processes quickly Competitive/Driven Excellent communication skills verbal and written Team player Must be willing to travel to clients to support sales relationships (if required) Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful. Native Dutch or French and professional English Desired Qualifications: SaaS or Developer tools sales experience Startup experience A strong sales aptitude and fundamental understanding of the sales process A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment Ability to thrive in an agile environment with an ever-evolving set of solution About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer Cloud Engineering (Contractor) We are seeking a Senior Software Engineer to be part of a new engineering team supporting our Cloud Streaming platforms. This individual will partner closely with existing domain experts, develop deep expertise in complex distributed systems, and serve as the technical foundation for building a new high-performing team. What You’ll Do Design and implementation of features in distributed back end systems Ownership of the implementation and delivery of well-defined features from start to finish Implementation of unit tests via testing frameworks Define and craft integration tests with Test Engineering Solve performance and reliability issues at a global scale Triage and fix reported bugs Communicate estimates, schedules, issues, and dependencies to technical or project lead Requirements BS in Computer Science (or equivalent experience) 5+ years of relevant experience In-depth experience in Java Experience with AWS technologies and managed services Knowledge of Kubernetes, Docker, Helm Development experience with Linux Intermediate knowledge of version control tools such as git, Github and GitLab Familiarity with CI/CD pipelines, ArgoCD Knowledge in NoSQL, Prometheus, Elasticsearch, and other CNCF technologies Deep understanding of distributed systems, storage architectures (object/block), networking, and high-availability design Understanding of concepts such as concurrency, parallelism, and event driven architecture Knowledge of Web technologies including REST and gRPC Strong communication and documentation skills Nice to Have Experience with Python or Rust a plus Familiar with Agile development concepts Experience with streaming platforms, cloud gaming, or large-scale distributed systems Infrastructure-as-code experience (CDK, Terraform) Familiarity with AI-assisted development tools and modern cloud-native practices Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London About the Team The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations. Our goals are to: Democratize data & intelligence for humans and agents Build a context layer and an AI systems layer upon our unified data & content platform Support Cloudflare’s critical business needs DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare's entire business. Role Summary We are looking for an experienced Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets. Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default. Role Responsibilities Own the development and maintenance of agent-ready curated datasets end-to-end Provide analytics support and a strategic perspective to our business partners Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems Review Merge Requests created by your team of humans and agents Take initiative to gather requirements, define, build, and maintain pipelines and metrics Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights Role Requirements B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields Demonstrable proficiency with analytics-relevant AI-tooling 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets (Candidates will be assessed on advanced SQL skills including window functions and common table expressions (CTEs)) 3+ years experience working in version control environments using platforms such as Gitlab or Github 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms) Initiative, curiosity, strong stakeholder engagement, and empathy Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders Nice-to-Have Experience Experience and/or a keen interest in internet security, protocols, and edge-development Analytics experience in a fast-growing technology, SaaS, or subscription-based business Experience with statistical analysis programming languages (Python, R etc.) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE ROLE Our Platform Enablement team is a developer-centric SRE team dedicated to treating our internal engineers as our primary customers. We maintain the foundational layers that impact daily workflows—including observability, CI/CD, and workload orchestration—with the goal of making it simpler and more efficient for teams to deploy and manage their services. If you are passionate about eliminating friction, automating repetitive tasks, and engineering self-service architectures, we would love to meet you. WHAT YOU'LL DO - Manage and advance our internal observability ecosystem, including technologies like Grafana, VictoriaMetrics, and OpenSearch, to empower teams in troubleshooting their own workloads. - Enhance CI/CD workflows and developer utilities using Jenkins and GitHub Actions to optimize the build and deployment lifecycle. - Guide the adoption of Kubernetes and establish standardized patterns for deploying various workloads. - Collaborate closely with engineering teams to resolve technical bottlenecks and build custom tooling when existing solutions fall short. - Contribute to the development and maintenance of our Internal Developer Platform based on Backstage. - Develop and support specialized tooling for AI-driven initiatives. WHAT YOU'LL BRING - More than 5 years of professional experience in SRE or DevOps roles with a clear emphasis on enabling developer success. - Strong interpersonal skills and a deep sense of empathy for the challenges faced by software developers. - Proven expertise in AWS and Kubernetes environments, coupled with a mastery of Infrastructure as Code via Terraform or similar frameworks. - Practical experience managing monitoring stacks and deployment pipelines at scale. - A natural inclination toward building automated, reusable systems that favor self-service over manual intervention. - A track record of integrating AI tools into your engineering methodology to improve productivity. NICE TO HAVE - Familiarity with the broader ecosystem including ClickHouse, Sentry, or developer portals like Backstage. - Understanding of FinOps principles and strategies for optimizing infrastructure expenditure. - Previous involvement in constructing or scaling internal developer platforms. BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Baku Workplace: onsite ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Qualifications & Skills: Experience: 5+ years of experience focused heavily on CI/CD automation, release engineering, or developer tooling, with at least 2+ years leading a technical team. Platform Expertise: Deep, hands-on administrative experience with GitLab and GitHub . You understand the nuances of managing large enterprise instances, enforcing branch protections, and configuring complex role-based access. CI/CD Mastery: Expert-level knowledge of GitLab CI and GitHub Actions. You know how to build modular, reusable pipelines and can quickly debug complex build failures. Developer Empathy: A strong customer-service mindset focused on developer experience (DevEx). You enjoy collaborating with software engineers and solving their deployment pain points. Containerization Knowledge: Strong understanding of Docker and building containerized applications, as well as how pipelines interact with Kubernetes environments during deployment. Communication: Excellent English communication skills to effectively collaborate and provide support across our distributed, global engineering teams. Responsibilities Team Leadership: Manage, mentor, and grow a dedicated team of CI/CD engineers and version control administrators. Platform Administration: Serve as the technical owner of Xsolla’s enterprise GitLab and GitHub environments. Ensure high availability, performance, access management, and regular maintenance of these critical platforms. Developer Deployment Support: Act as the primary support layer for development teams regarding their deployment processes. Troubleshoot failing builds, optimize pipeline performance, and provide hands-on guidance to help developers deploy their code efficiently. Pipeline Standardization: Design, build, and maintain centralized CI/CD pipeline templates and automated workflows. Make it easy for developers to adopt best practices without having to write complex deployment scripts from scratch. Runner Management: Oversee the dedicated infrastructure for GitLab Runners and GitHub Actions. Scale and optimize these build environments to eliminate queuing delays and reduce build times. Security Integration: Partner with the Information Security team to ensure version control access complies with PCI-DSS. Integrate security scanning tools (SAST/DAST, dependency checks) directly into the deployment pipelines without severely impacting build speed. Nice to Have: Experience migrating large codebases between GitLab and GitHub. Scripting skills (Python, Bash, or Go) to automate routine repository management tasks. A passion for the video game industry! Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement:Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Location: Canada What The Role Is As a Senior Engineer at Babylist, you take on hard problems and own them end-to-end. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll start on a team, but you won't be boxed into it. The roadmap is open, your scope grows as you do and you have a say in what you take on next. Senior here means owning whole problems; Staff is the next step up, setting direction across a domain. What You'll Own A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. You act on incomplete information and change course fast when the evidence says you were wrong. What you do depends on what the team needs: Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built. Harden a critical path, kill a class of incidents or design the abstraction your team builds on. Be the reviewer people want on the risky changes. Manage up with crisp choices: raise the risks early and protect the right tradeoffs. Share what you're learning about AI openly, so the whole team gets sharper. A few problems people at this level are working on right now: Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps. Building the evals system that catches our AI support agent making things up before a customer does. Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it. Who You Are You've been shipping production systems for years, and you've got the judgment to show for it. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. When it's hard you dig in, and you learn unfamiliar parts of the stack fast. Range is the Senior signature. Compensation We post real numbers. For a Canada-based Senior Engineer, the starting base salary range is $255,900 to $318,600 CAD, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $294,285 to $366,390 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks, start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A RRSP match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address.

Location: Canada What The Role Is As a Staff Engineer at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next. What You'll Own A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build. In practice, you: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Make the architecture calls that span teams and the ones that are expensive to reverse. Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones. A few problems people at this level are working on right now: Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it. Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt. Building Early Investor, our new family finance product, from scratch, on a deadline that can't move. Who You Are You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other. A few things that tend to be true of people who thrive here: You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. You're curious: you spot problems before they're filed and push your own ideas until they ship. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A RRSP match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Задачи: • Разработка и развитие backend-сервисов на Python • Проектирование и реализация микросервисов в Event-Driven архитектуре • Разработка высоконагруженных асинхронных сервисов с использованием AsyncIO • Интеграция сервисов через Kafka и Redis Pub/Sub • Работа с PostgreSQL и оптимизация взаимодействия с базой данных через SQLAlchemy • Проектирование REST API и внутренних сервисных интерфейсов • Написание unit- и интеграционных тестов, обеспечение качества собственного кода • Настройка и поддержка логирования, метрик и трассировки для мониторинга сервисов • Участие в проектировании архитектурных решений и проведении code review • Взаимодействие с аналитиками, DevOps и другими разработчиками при реализации функциональности • Оптимизация производительности, отказоустойчивости и масштабируемости сервисов Требования: ✔️ Коммерческий опыт разработки на Python от 4 лет ✔️ Опыт разработки backend-сервисов на FastAPI или Litestar (Starlite) ✔️ Уверенное владение AsyncIO/concurrency/multiprocessing ✔️ Опыт работы с Kafka ✔️ Опыт использования Redis (желательно Redis Pub/Sub) ✔️ Уверенный опыт работы с PostgreSQL и SQLAlchemy ✔️ Понимание принципов наблюдаемости сервисов и опыт работы с логированием, метриками и трассировкой (Prometheus, Grafana, OpenTelemetry, Jaeger и др.) ✔️ Практический опыт разработки микросервисов ✔️ Опыт работы с Docker, Git, CI/CD ✔️ Опыт работы с Event-Driven системами; преимуществом будет опыт их проектирования и разработки с нуля ✔️ Опыт самостоятельного тестирования собственного кода (pytest или аналогичные инструменты) Будет преимуществом: ✔️ Понимание различных архитектурных подходов помимо Event-Driven ✔️ Опыт проектирования архитектуры сервисов с нуля ✔️ Опыт работы в высоконагруженных распределенных системах ✔️ Опыт использования AI Coding Agents (например, GitHub Copilot, Cursor, Windsurf, Claude Code и др.)