Platform Engineer, AI Tooling

Drata; San Francisco (CA); On-site; USD 131,900 - 178,500; Full time

Benefits offered by this job

Stock equity

100% employer-paid medical, dental, and vision coverage

401(k) plan

Flexible vacation policy

Generous stipends for development

Job summary

Drata, based in San Francisco, is seeking a Platform Engineer, AI Tooling to enhance the internal AI platform that boosts engineer efficiency by developing custom agent skills and automating coding lifecycles. You will own key areas of the platform and collaborate closely with senior engineers in an agile environment.

Ideal candidates have 3+ years in software engineering, experience with AI coding tools, and strong skills in TypeScript or Python. This position offers a competitive salary, generous growth perks, and a flexible working environment.

Qualifications

• 3+ years of experience as a software engineer building production systems and platforms.
• Daily user of AI coding tools with experience customizing them.
• Working knowledge of MCP and how to expose internal tools to AI agents safely.
• Solid backend skills in TypeScript or Python in production.
• Experience with CI/CD systems (GitHub Actions or similar).

Responsibilities

• Implement custom agent skills, hooks, and plugins for engineering workflows.
• Build workflows that automate coding lifecycle: code generation and testing.
• Help engineering teams adopt and customize AI coding tools.
• Wire AI into CI/CD: automated PR review and doc generation.
• Investigate and fix issues: misbehaving agents, eval regressions.

Skills

Experience as a software engineer

Daily user of AI coding tools

Solid prompt engineering experience

Strong backend skills: TypeScript or Python

Experience with CI/CD systems

Excellent problem-solving skills

Education

3+ years of experience in software engineering

Tools

AWS

Drata core stack: NodeJS/TypeScript

CI/CD systems: GitHub Actions

Job description

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 are not building AI features for Drata's customers. You are 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 is Drata's engineers. You will own meaningful pieces of the platform, work closely with senior engineers, and ramp fast in a space that is still being defined. You will participate in design, coding, testing, and production release, and deliver code in an agile team environment.

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
• Self‑motivated and adaptable to changing technologies and requirements

How we support you

At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well‑being, accelerate your growth, and keep your work‑life balance thriving. Explore how we invest in your life at Drata.

• Shared Success: We provide stock equity to ensure that as the company grows, you share directly in that success.
• Health & Wellness: 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.
• Financial Well‑being: 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.
• Family Support: We offer a paid parental leave policy after six months of employment. Employees also receive access to Kindbody fertility and family‑building benefits and dedicated leave specialists.
• Growth & Development: Generous annual stipends for both professional and personal development, along with a wide range of internal learning opportunities.
• Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation, and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks.

This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $131,900 - $178,500. A variety of factors are considered when determining someone’s leveling and compensation— including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.