Platform Engineer, AI Tooling

What you'll do

• Implement custom agent skills, subagents, hooks, and plugins for specific engineering workflows (PR review, test generation, on-call summaries, migration scripts, release notes)
• Build agentic workflows that automate parts of the coding lifecycle: code generation, verification, testing, and delivery - agents that take a ticket and turn it into a tested, reviewable PR
• Help engineering teams adopt and customize AI coding tools: pair with them on prompts, debug agents that misbehave, ship the skill that solves their actual problem
• Wire AI into CI/CD: automated PR review, doc generation, test scaffolding, bug triage
• Build the observability layer: usage telemetry, cost dashboards, audit logs for AI-driven changes
• Design and run evaluations for agent workflows
• Maintain engineering harness that the org reuses across teams
• Investigate and fix issues: misbehaving agents, eval regressions, cost spikes, permission edge cases in MCP servers
• Participate in design reviews, post-mortems, and on-call for the AI Tooling platform
• Write reusable, testable, and efficient code
• Stay current with new AI coding tools and patterns, and bring back what's useful
• Research and train on technologies you think may be appropriate for current or future projects

What you'll bring

• 3+ years of experience as a software engineer building production systems and platforms
• Daily user of AI coding tools with experience customizing them: skills, rules, subagents, MCP servers, hooks, or extensions
• Working knowledge of MCP (Model Context Protocol) and how to expose internal tools to AI agents safely
• Working knowledge of the Anthropic API (preferred) or equivalents: tool use, structured outputs, streaming, prompt caching
• Solid prompt engineering experience for tasks with tools and multi-step agentic workflows, not just chatbot prompts
• Strong backend skills: TypeScript or Python in production, REST APIs, async work, relational databases
• Comfort building developer-facing tooling: CLIs, GitHub Apps, integrations
• Awareness of the security side of AI dev tools: secrets in prompts, code and data egress, prompt injection inside repos, audit trails
• Experience with CI/CD systems (GitHub Actions or similar)
• Working knowledge of the Drata core stack, or willingness to ramp fast: NodeJS/TypeScript primary, with Temporal, MySQL, and REST
• Experience with AWS
• Familiarity with engineering productivity measurement frameworks (DORA, DX, SPACE) and what they're trying to capture
• Curious and hands-on, comfortable in a space where best practices are still being written
• Experience developing real-world web applications
• Self-directed and able to own complete features
• Excellent problem-solving and analytical skills
• Strong written communication: clear PRs, design docs, runbooks
• Agile development experience

Nice to have

• Published agent skills or open-source AI dev tool contributions
• GitHub App development
• Terraform