Platform Engineer, AI Tooling

Job Overview

Our Mission & Values:
At Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build.

We live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority.

Our Culture & Work Style 🚀
At Drata, we’re not just building software - we’re building a mindset. Everything we do springs from:
Be a Driver (Owner‑Operator Mentality): Own your work. Improve relentlessly. Deliver results.
Move at Drata Speed (Precision & Velocity): Fast decisions. Quick learning. Immediate impact.
Stay Mission-Driven (Customer‑Obsessed): Challenge assumptions. Deliver value. Stay hungry.
We pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That’s why in the Bay we come together in-office Tuesday through Thursday our high‑impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy.

If you thrive when you’re empowered, energized, and working with smart, mission-driven people, you’ll feel at home here.

Why Join The Drata Team?
The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide, united by a culture that values trust, speed, and continuous growth.

Job Summary:
The Platform Engineer, AI Tooling on the Developer Experience Team (part of Foundation Engineering group) will help build the internal AI platform that makes Drata's engineers more efficient - the tools, agents, and integrations that turn AI coding agents (and the rest of the AI dev stack) into the default way work gets done at Drata. This is not a product-AI role - you're not building AI features for Drata's customers. You're building for Drata's engineers: MCP servers that connect AI agents to our internal systems, custom agent skills and subagents tuned to specific workflows, agentic workflows that automate code generation, verification, testing, and delivery, and the observability and cost controls behind all of it. Your \"customer\" is not Drata's normal users, it's Drata's engineers.

You'll own meaningful pieces of the platform, work closely with senior engineers, and ramp fast in a space that's still being defined. You'll participate in design, coding, testing, and production release, and deliver code in an agile team environment.

Key Responsibilities

• 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

Required Qualifications

• 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 defined