Staff Software Engineer - Security Agent

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 Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. WHAT YOU'LL DO You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. RESPONSIBILITIES * Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. * Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. * Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. * Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. * Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. * Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. * Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. * Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. * Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. * Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. 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 of professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. * Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. * Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. * Strong product instincts and a deep understanding of the business context in which you operate. * Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. * Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. * The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. * Hands-on experience using AI tools to accelerate how you work. PREFERRED QUALIFICATIONS * Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. * Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. * Experience rapidly developing prototypes and iterating based on user feedback. * Experience training and shipping machine learning models to production to solve critical business problems. * Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). * Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). * Ability to synthesize ideas across the organization while setting a compelling technical vision. * Comfortable working with geographically distributed teams. * Passion for side projects, open source, or self-driven technical initiatives.

Yubico

MEET YUBICO Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. Publicly traded on Nasdaq Stockholm with headquarters in Sweden, the US, and Singapore, we protect everyone from everyday consumers to global enterprises with modern, phishing-resistant authentication. Why Join Our Mission? At Yubico, we are guided by a shared belief that your work matters. We operate under a cultural philosophy of Speed with Integrity, pushing the boundaries of technology to secure the AI frontier—protecting both human and agentic AI interactions—and leading the transition to post-quantum cryptography. In everything we do, we live by our core values: * Battle Friction: We constantly look for new ways to simplify our products, our work, and the user experience. * Inspire Higher: We think big, champion the open internet, and strive to do the right thing even when it is difficult. * One Team: We are open, responsive, and collaborative, overcoming challenges and celebrating our successes together. Aligned with our commitment to open standards, we foster a thriving builder ecosystem through the Yubico Developer Program, offering free open-source repositories, libraries, and SDKs to help developers rapidly integrate strong hardware authentication into any application. Through close collaborations with technical partners like Google, Microsoft, and Amazon, as well as newer frontiers like OpenAI, we continue to shape a safer digital world while donating security keys to protect vulnerable communities, journalists, and humanitarian groups worldwide through our Secure it Forward program. At Yubico, We Offer Yubico Values: We work to ensure that our employees have an open space to have their voices amplified to create a workplace where everyone feels like they belong. In support of this, our employees have created some pretty cool Employee Resource Groups that foster inclusion, help build community and connection across Yubico which all employees are welcome to join. Additionally, Yubico donates YubiKeys to organizations in need all over the world (you can read more about our work here). Social Connection: Relationships and connectedness matter, and we love spending time with our team! Our virtual workspace keeps us connected day-to-day whether it's through Yubico celebrating wins or our buzzing Slack communities. Check out our Life at Yubico Page on LinkedIn and our awards here. THE ROLE Yubico is looking for a Software Engineer to join the Platform team working on Yubikey as a Service. It is an Enterprise solution that customers use to manage the lifecycle of their credentials and YubiKey deployment at scale. You should have a passion for building the platform for Enterprise-grade applications. We are looking for a teammate who is proactive, works well within and across teams, and has a desire to do things right and learn. You will develop the platform to support products used by many top Enterprise companies and will get to see your work in use right away. Tasks and Responsibilities:  * Understand, enhance, maintain, and grow the platform that powers our services * Develop your skills in designing and developing a testable, scalable and globally-distributed set of services used by a variety of Enterprise customers * Work collaboratively across functions - Product Managers, Security, Infrastructure, UX designers, Support * Work with a variety of technologies and increase your experience in many areas, ranging from cloud platform services and REST design to data compliance and web security * Work collaboratively with a tight-knit, multi-national development team to create well-architected software * Participate in an on-call rotation and gain experience supporting business-critical Enterprise services BASIC QUALIFICATIONS * 3+ years of software development experience (or equivalent) * Experience building commercial software * Experience with back-end software development * Experience working with relational databases * Experience with one or more common web-backend languages such as (but not limited to) Java, Kotlin, Go, Python, JavaScript (Node.js), C#, Rust BONUS QUALIFICATIONS * Hands-on experience with Go and/or Java/Kotlin * Hands-on experience in one or more of the following technologies: Kubernetes, Docker, Redis * Experience with one of the three major cloud platforms * Authentication and authorization technologies, modern security practices   #LI-IR1 We are an equal opportunity employer, we value diversity and uphold an inclusive environment where all people feel that they are equally respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity or expression, age, marital status, religion, national origin, disability, protected Veteran status or any other characteristic protected by law. We'd love to learn about what you can add to our diverse team. We are an E-Verify Participating Employer.   Yubico does not accept agency resumes or referrals so please do not send them to our careers staff or employees. Yubico is not responsible for any fees related to unsolicited resumes or referrals.   Personal data submitted through this form is used for managing Yubico’s recruitment activities, which include facilitating any application you make, setting up and conducting interviews and tests for applicants, evaluating and assessing results and selecting candidates, and as otherwise needed in our recruitment and onboarding processes. The use of your personal data may also be necessary prior to entering into a contract with you (that is prior to offering you a job with Yubico). Your personal data will only be used for the purposes for which it was collected and in accordance with the Yubico Privacy Notice. We only keep your personal data for as long as necessary and in compliance with Yubico’s record retention policies. If you have asked us to, we will keep you informed of other opportunities at Yubico. We do this in various ways, including email and by phone. If at any time you do not want us to contact you or use your information as described herein please contact us at jobs@yubico.com to let us know and we will delete all such information. Providing your personal data is voluntary, but necessary to join our talent community, and if you do not agree to provide your data, we will not be able to consider you as part of our talent community.   As part of providing the requested service, we will transfer your data to be processed by Greenhouse Software Inc., a service provider contracted by Yubico AB and/or its subsidiaries that meets legally mandated privacy requirements. The Yubico Privacy Notice offers more information about Yubico privacy practices, including the lawful basis for processing of personal data, how to lodge a complaint with the supervisory authority, and how to contact Yubico to exercise your data subject rights. In this notice, when we refer to "Yubico", "us", "we" or "our", we mean the Yubico group company or companies that you apply to, or correspond with, and which are responsible for any personal data collected about you.

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.