Staff Engineer, Integrations

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Seller Systems team is dedicated to empowering sellers and stakeholders at Stripe by streamlining and optimizing the selling process. This is a top priority for Stripe as it expands its enterprise revenue globally. We build tools and systems to make the end-to-end selling process across initial contact with customers, deal modeling, negotiation, approvals, contracting, onboarding, and activation absolutely world class. We treat this area as an engineering problem from first principles, implemented with a hybrid architecture of first-party-developed custom Stripe components interoperating with third-party standard business components. Our vision is to be able to offer a single plane of glass experience to our Sellers at Stripe, to allow them to leverage AI through workflows that allow them to minimize overhead and increase their time on increasingly efficient selling. WHAT YOU'LL DO As a Staff Engineer in Seller Systems, you'll be a technical anchor for one of Stripe's highest-priority engineering investments—building the infrastructure that powers how Stripe sells to and wins customers globally. You'll own and drive multi-year technical strategy across a complex hybrid architecture of first-party Stripe systems and third-party platforms (including Salesforce), while directly shaping the seller experience across the full quote-to-cash lifecycle. You'll set the architectural direction and be a multiplier across teams—owning end-to-end technical decisions that span seller-facing workflows, core platform services, and integrations with Stripe's financial infrastructure. RESPONSIBILITIES • Architect and build scalable, reliable systems that underpin Stripe's sales motion, including APIs and services that support deal creation and modeling, multi-party approval workflows, contract generation, and merchant onboarding at global scale • Lead Stripe's "single plane of glass" vision for sellers—driving architectural decisions on how first-party Stripe components and third-party platforms (e.g., Salesforce) interoperate, and designing systems that surface the right data and actions to sellers at the right time • Integrate AI and agentic workflows into the selling process, identifying high-leverage opportunities to automate seller overhead—from intelligent deal recommendations and pricing guidance to automated contract workflows and proactive activation nudges • Partner cross-functionally at a senior level with Go-to-Market, Finance, Legal, and Product teams to deeply understand the selling process and translate business requirements into durable technical solutions that scale with Stripe's growth • Raise the technical bar across the team—conduct thorough design and code reviews, establish engineering standards and best practices, and create the conditions for senior and staff-adjacent engineers to do their best work • Drive simplification and platform consolidation—reduce complexity in Stripe's go-to-market systems stack, identify opportunities to consolidate overlapping tooling, and architect toward a maintainable, extensible platform that serves sellers reliably • Mentor and sponsor senior engineers, helping them grow in technical scope and organizational influence, and fostering a culture of ownership, craft, and collaboration across the Seller Systems team and beyond WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS • 10+ years experience building software systems, including both experience building user-facing products and internal platforms leveraged by other engineering teams • You have a user-first mindset • You care deeply about the product experience and the users who rely on the systems you build • You've set a multi-year technical strategy for an organization and successfully executed it • You work in ambiguous, fast-moving environments and have a curiosity to learn the domain to a deep level • You've mentored senior engineers and meaningfully empowered their growth • You thrive on a high level of autonomy and responsibility • You have strong collaboration skills to work effectively across multiple teams and stakeholders, and ship complex initiatives • You communicate complex technical topics exceptionally clearly PREFERRED QUALIFICATIONS • Experience working in high-growth teams similar to Stripe • Knowledge of CRM platforms like Salesforce • Previous experience partnering with or supporting Go-to-Market (GTM) organizations, including Sales, Marketing, or Customer Success teams

meinUnterricht

BESCHREIBUNG Do you love untangling messy systems, shipping real improvements, and setting a higher engineering bar? Join meinUnterricht, Germany's leading platform for teachers, as a Staff Engineer.  You'll own the architecture of the core systems that run our business and decide how a decade of accumulated complexity gets simplified. We want a hands-on architect who questions the status quo and pushes our AI-first engineering even further. Our Tech Stack We believe in transparency. You will be working across both legacy and modern systems, with a strong mandate to help us consolidate and modernize over time. Where we are going (the new stack): Monorepo architecture, APIs built with Hono, Prisma for DB migrations, Vitest, PostgreSQL, Stripe, and AWS CDK for infrastructure. What we currently have: React, Redux, Node.js (Hapi), MongoDB (Mongoose), MySQL, Zuora, and AWS (EC2, ECS, CloudFront). DEINE AUFGABEN * Drive System Architecture: Lead the technical direction for our core systems, including subscription infrastructure, cloud foundations, shared backend services, database architecture, and data pipelines. * Modernize the Foundation: Identify what should be kept, replaced, merged, or removed across our legacy systems, and turn that into a pragmatic target architecture with an execution path. * Technical Ownership: You stay deep in the code on the highest-impact problems. You make the architecture decisions and the hard technical tradeoffs, and you set the bar others build to. * Raise the Bar with AI: Model an AI-first engineering culture by using tools like Claude Code, Codex, or similar across coding, migrations, infrastructure, and workflow automation. DEIN PROFIL * Broad Systems Depth: Strong backend (fluency in TypeScript/Node.js) and infrastructure experience across areas like databases, cloud services, queues, caching, networking, integrations, or pipelines. Not just one narrow specialty. * Migration Experience: You have led or played a major role in moving production systems from old to new, and you understand the messy middle: dual-running, rollout strategy, data integrity, and rollback planning. * Product Sense: You think beyond the system to the user and the business. You balance long-term architecture against the value that needs to ship now. * Cloud & Platform Experience: You're comfortable working in AWS-heavy environments and have practical experience improving infrastructure, reliability, and developer workflows. IaC experience is a big plus. * AI-Native Mindset: You actively use AI tools in real engineering work and see them as a serious force multiplier, not a gimmick. WARUM WIR? * Meaningful Product: Build infrastructure behind a platform that helps tens of thousands of teachers prepare better lessons, faster. * Real Ownership: You'll own a critical systems domain with direct impact on revenue, product velocity, and the technical future of the company. * AI-First Engineering Culture: We invest heavily in AI tooling (Claude Max Plan or equal) and expect engineers to use it deeply and practically in day-to-day work. * Strong Berlin Setup: Work from our office at Potsdamer Platz in a hybrid setup, combining regular in-office days for collaboration with remote work days for focused execution. * Meaningful Benefits: A device of your choice, Deutschland Ticket or Urban Sports Club, work remotely from anywhere in the world for up to 10 days per year, Jobrad, and more. PROZESS * Remote coding challenge * Technical interview (video call) * System design interview (preferably on site in our offices in Berlin) * Technical leadership interview (preferably on site in our offices in Berlin)

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. AN OVERVIEW OF THIS ROLE As a Staff Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab CI. You'll play a central role in how we integrate AI into CI/CD workflows. Your work will impact performance, reliability, and usability for people running millions of CI jobs, from small teams to the largest enterprises. AI is a top priority in the year ahead. In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable. We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will: * Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with. * Define what success looks like across our agent portfolio and make sure we're tracking against it — not just shipping, but learning. * Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world. * Examples of Agentic CI work we have planned for the upcoming year: * AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users. * Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges. * Build the instrumentation and observability layer that makes agentic CI trustworthy — trigger volume dashboards, retry rates, cost safeguards — so we can measure what's working, catch what isn't, and iterate with confidence. * Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale. WHAT YOU’LL DO * Shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. * Design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform. * Define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate. * Build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. * Own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data. * Write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. * Lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. * Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI. WHAT YOU’LL BRING * Advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. * Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. * Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. * Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. * A data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. * Familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. * Strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. * Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment. ABOUT THE TEAM The Verify stage focuses on collaboration, iteration, and helping GitLab users run fast, reliable, and scalable Continuous Integration (CI) pipelines for projects of all sizes, from small teams to large enterprises. For more on how we work, see Team Handbook Page and Related Initiative. Remote-Global HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.