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.
\nIn 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.
\nWe have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:
\nExamples of Agentic CI work we have planned for the upcoming year:
\nYou'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.
\nThis 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.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_86696218-8f0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8448283002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Ruby","Ruby on Rails","PostgreSQL","Data modeling","Query tuning","Scaling large tables","High-traffic production systems","CI","Workflow orchestration","Infrastructure-heavy domains","AI-powered backend features","Large language model limitations","Responsible use in production","Data-driven approach to engineering","Observability patterns","Metrics","Logging","Tracing","Backend architecture","Delivery practices","Secure design","Well-tested code","Safe rollouts","Zero-downtime changes"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:58.310Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, APAC; Remote, Canada; Remote, Ireland; Remote, Netherlands; Remote, United Kingdom; Remote, US; Remote, US-Southeast"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Ruby, Ruby on Rails, PostgreSQL, Data modeling, Query tuning, Scaling large tables, High-traffic production systems, CI, Workflow orchestration, Infrastructure-heavy domains, AI-powered backend features, Large language model limitations, Responsible use in production, Data-driven approach to engineering, Observability patterns, Metrics, Logging, Tracing, Backend architecture, Delivery practices, Secure design, Well-tested code, Safe rollouts, Zero-downtime changes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2dd69016-e4d"},"title":"Senior Engineer, Foundry Applications","description":"We're growing quickly and looking for a Full-Stack Software Engineer to help design, develop, and deploy robust applications that directly enable manufacturing, operational planning, and execution , all within a Foundry-integrated ecosystem.
\nAs a Senior Engineer, Foundry Applications, you will execute the development and release of Foundry-backed applications that power MES, ERP, and operational analytics. You will develop end-to-end features: From backend services and data transformations to user-facing interfaces , ensuring performance, maintainability, and security.
\nCollaborate with production managers, engineers, and supply chain teams to understand workflows and deliver scalable software solutions. Leverage Palantir Foundry: Use Foundry's APIs, ontology, and visualization tools to integrate data across multiple domains. Deliver continuously: Write well-tested, maintainable code and iterate quickly based on real-world feedback.
\nShape the roadmap: Contribute to technical direction, make sound architecture decisions, and help scale our Foundry development capabilities.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_2dd69016-e4d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/c2479afc-d804-4b2a-a3b8-0b111f785e8e","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000 - $175,000 a year","x-skills-required":["full-stack application development","Python data-processing pipelines","data modeling","software design","testing"],"x-skills-preferred":["Palantir Foundry","Typescript","modern front-end frameworks","software for manufacturing","modern software delivery practices"],"datePosted":"2026-04-17T13:04:07.172Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack application development, Python data-processing pipelines, data modeling, software design, testing, Palantir Foundry, Typescript, modern front-end frameworks, software for manufacturing, modern software delivery practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":175000,"unitText":"YEAR"}}}]}