Staff Platform Engineer, Agentic Engineering

Job summary

Lead the technical direction and hands-on development of an Agent-centric Development Cycle, turning agentic engineering experiments into safe, reliable workflows adopted across engineering. Build isolated agent execution environments, prepare a TypeScript monorepo for agent work, and integrate workflows with Linear, GitHub, CI, testing, and code review. Develop benchmarks and adoption metrics to evaluate quality, safety, review effort, and developer productivity.

Benefits

Qualifications

• Regularly experiment with frontier AI models and tools and form evidence-based assessments.
• Have led cross-team platform, developer experience, or engineering productivity initiatives through adoption and measurable impact.
• Use coding agents daily and have built agent infrastructure such as repository context, tool integrations, sandboxed execution, or CI workflows.
• Apply a product mindset to internal platforms, prioritizing engineer needs and evaluating adoption.
• Have established technical direction across teams through proposals and design reviews.
• Have made decisions about permissions, secrets, sandboxing, sensitive code, and human review.
• Have built evaluations, benchmarks, or quality metrics that informed changes in direction.
• Write technical proposals and documentation that influence decisions.
• Experience with large TypeScript, Node.js, or JavaScript monorepos is an advantage.
• Experience with GitHub Actions, Linear, test infrastructure, preview environments, or internal developer platforms is an advantage.

Responsibilities

• Set strategy and priorities for agent execution, repository readiness, CI, security, and developer workflows.
• Identify high-impact opportunities using developer feedback, experiments, and engineering performance data.
• Make tool and vendor decisions and manage AI cost and value trade-offs.
• Design isolated execution environments that protect secrets and sensitive systems.
• Define agent safety boundaries, permissions, and human-review requirements.
• Prepare the monorepo for agent work by improving structure, testability, and context.
• Build workflows that move Linear issues through agent execution, verification, review, and pull request merging.
• Integrate agent workflows with GitHub, CI, test infrastructure, and code review.
• Develop benchmarks using historical engineering tasks to assess quality, failure modes, review burden, and production risk.
• Track adoption and quality measures, including reviewer acceptance, CI pass rate, rework, and developer satisfaction.

Skills

Languages

Industry

Relocation