Lead People Systems Engineer responsible for building and operating People automation, agents, and integrations across Workato, Workday (WWS), Greenhouse, Slack, Claude/LLMs, and GitLab. The role emphasizes writing maintainable code (Ruby or comparable scripting languages), CI/CD practices, reliability and observability, and partnering with InfoSec, AI Engineering, and IT. Position is remote and the US-based salary range is $126,400–$213,600 USD per year.

Work directly with strategic customers and internal teams to resolve urgent, cross-functional adoption and performance challenges, contribute production-quality fixes and features to GitLab (Ruby on Rails/Go), and develop reusable guidance for AI adoption, CI/CD, observability, and DevSecOps. Role is remote (US) and staff-level.

Work on the Duo Agent Platform in the GitLab monolith (primarily Ruby) and occasionally the AI Gateway (Python). Responsibilities include designing and implementing GraphQL/REST APIs, developing backend features, improving automated tests (RSpec), troubleshooting production issues (Tier 2 on-call), and collaborating with product, UX, frontend and AI teams to ship scalable, secure AI-enabled backend functionality.

Work as a Senior Backend Engineer on GitLab's Authentication team to design and implement authentication and identity services (token issuance/validation, passkeys, SSO, OIDC, SAML, LDAP, SCIM) across the Rails monolith and the new GATE service. Role requires Go and/or Ruby experience, security and IAM knowledge, and remote work from the United States or Canada. US salary range provided.

Hands-on technical leader reporting to the Director, Enterprise AI. Responsibilities include diagnosing business problems, mapping workflows, designing and shipping AI solutions quickly (prototypes to production), integrating with existing systems (APIs, orchestration tools, GitLab Duo Agent Platform), and measuring success with business and flow metrics. Strong engineering fundamentals, LLM/AI expertise, systems thinking, and experience with enterprise systems (e.g., Salesforce, Marketo, Zendesk) are emphasized. Role is remote with a U.S. salary range provided.

Work directly with strategic customers and cross-functional GitLab teams to diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features to GitLab, and develop reusable patterns for AI-assisted development and the agentic SDLC. The role requires staff-level engineering experience across application code, infrastructure, observability, CI/CD, and governance, with strong skills in technologies such as Ruby on Rails, Go, Kubernetes, GitLab CI/CD, and related tooling.

GitLab seeks a Staff Forward Deployed Engineer focused on AI and agentic software development lifecycle work. The role involves designing and building agent workflows, context/knowledge systems (e.g., RAG, cache-augmented generation), integrations and evaluation suites, diagnosing model and system failures, and working directly with strategic customers to generalize solutions into the product. Requires staff-level software engineering experience and hands-on AI engineering expertise across models, retrieval, tooling, tracing, safety, and governance.