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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.

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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.

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We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:

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Examples of Agentic CI work we have planned for the upcoming year:

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You'll shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. You'll 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. You'll 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. You'll build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. You'll 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. You'll write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. You'll lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. You'll share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI.

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This role requires advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. You should have strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. You should have hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. You should have practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. You should have a data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. You should have familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. You should have strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. You should have clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.

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XML job scraping automation by YubHub

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We are looking for a Staff Backend Engineer to join our Digital Credentials team. As a Staff Backend Engineer, you will define the technical direction of a new VDC identity ecosystem and set the standard for how we build it.

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This role demands deep technical expertise in backend architecture and the ability to influence decisions across the team and adjacent engineering groups. You will thrive in a fast-paced, zero-to-one environment, cutting through ambiguity to drive product-market fit.

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In practice, that means using AI tools for architectural reasoning and design review, generating and validating test coverage, accelerating code review cycles, and helping engineers build judgment about when AI output is trustworthy and when it isn't.

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You'll define what 'good' looks like here and bring the team along. You'll also be a force multiplier - mentoring senior engineers, raising the technical bar through architecture.

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Proactively shape the technical strategy and architecture of a greenfield VDC identity ecosystem, partnering with principal engineers to ensure decisions prioritize open standards and interoperability.

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Own architectural decisions in a fast-moving environment - balancing rapid delivery with long-term scalability, security, and platform integrity.

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Identify and mitigate technical risks before they become blockers; escalate dependencies early and widely.

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Own production health for your systems - incident response, root cause identification, and driving operational improvement projects (monitoring coverage, alert reduction, runbook quality).

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Champion high engineering standards across the team, including rigorous code reviews, comprehensive unit/functional testing, and architectural review processes to ensure the platform is tamper-proof.

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Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.

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Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.

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Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.

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Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole.

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Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.

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Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.

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Solid understanding of web authentication and authorization fundamentals - how auth flows work, token-based access (JWT, OAuth), and best practices for securing sensitive user data.

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Deep expertise in building highly reliable, secure, enterprise-grade software using Java or Node.js.

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Proficiency in JavaScript or TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.

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Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS.

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Hands-on experience with identity protocols such as OIDC4VP, OIDC4VCI, OAuth, and the W3C Verifiable Credentials data model.

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Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.

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Practical knowledge of cryptography: public/private key infrastructure (PKI), digital signatures, and hashing, particularly in the context of Verifiable Credentials or DIDs.

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Experience building or maintaining publicly released SDKs used by external developers.

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Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling, working with blockchain technology, or contributing to a 'zero-to-one' startup-like team.

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The annual base salary range for this position for candidates located in Canada is between $160,000-$220,000 CAD.

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We're looking for a Principal Software Engineer to join the Observability Experience Team as one of the Tech Leads. As part of this team, you will work at the intersection of big data engineering, backend architecture, and experiences to help users obtain the best insights from their Observability signals, especially logs, metrics, and traces.

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Key responsibilities include collaborating with product management, product design, and multiple teams across Elastic to define and evolve the end-to-end experiences for Observability. You will also be a contact point for other teams within Elastic, providing hands-on support and guidance. Additionally, you will help the team define coding practices and standards, foster a culture of mutual respect, collaboration, and consensus-based decision-making, and stay true to the principles of software development as adopted by the team.

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The ideal candidate will have experience leading technical projects in the data and enterprise architecture areas, with a proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systems. They should also have hands-on experience using and developing Observability tools, preferably in the Logs space, and experience mentoring expert engineers, providing technical and professional guidance. Furthermore, they should be able to define a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmap.

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Bonus points for experience as a user of the Elastic Stack and experience in SRE roles.

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We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

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The Remember Me - Consumer team is building Plaid's next generation of direct-to-consumer products. Our mission is to help people feel more confident and secure in managing their financial lives through intuitive, high-trust experiences powered by Plaid's network.

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As the Technical Lead for the Consumer team, you will split your time between hands-on technical leadership and people management. You will be accountable for the technical foundation of the product, leading the design and evolution of systems that monitor financial accounts and power user-facing experiences.

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Responsibilities

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Qualifications

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Additional Information

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Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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Full Stack Engineer, Health AI

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Location

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San Francisco

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Employment Type

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Full time

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Department

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Applied AI

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Compensation

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

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More details about our benefits are available to candidates during the hiring process.

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This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

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Job Description

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OpenAI’s charter calls on us to ensure the benefits of AI are distributed broadly and safely. Our Health AI team focuses on expanding access to high-quality medical expertise and aims to set a high standard for deploying AI responsibly in high-stakes domains.

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Improving health will be one of the defining impacts of AGI. Today, millions of people lack access to reliable medical information, and clinicians around the world face increasing time and resource constraints. We are building AI systems that support patients, clinicians, and health workers, while meeting the highest standards for safety, reliability, and privacy.

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We are seeking full stack software engineers to help build and scale products used by consumers and care providers globally. You will work closely with product, design, and research teams to ship real systems in a fast-moving, high-impact environment.

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Responsibilities

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Requirements

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Bonus if you have

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About OpenAI

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OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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