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

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
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

Stock equity
Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services
A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings
Paid Parental Leave policy, after six months of employment. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists
Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities
Flexible vacation policy, paid holidays, and other perks to recharge

This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs).

Drata is hiring a Platform Engineer, AI Tooling