AI Platform Engineer

📋 Description

• Build and run the MCP fleet — ship, secure, and patch self-hosted and managed MCP servers for
• Own the agent platform other teams build on — the deploy pattern, guardrails, observability, and
• Co-own the Bedrock runtime and gateway — model access, cost attribution, content-filtering
• Make AI spend and usage visible — build the Bedrock-to-Snowflake pipeline, identity-matched, with
• Make the secure path the easy path — own MDM config, desktop client setup, credentials, and auth
• Build governance into the platform — route workflows by data sensitivity, enforce least privilege

🎯 Requirements

• 6+ years in software engineering, platform engineering, or DevOps, including ownership of something
• Hands-on AWS — IAM, ECS or Lambda, CloudWatch, and working VPC knowledge. Required, not a bonus.
• Full-stack range — backend services, APIs, CI/CD, containerized deployments.
• Builder, not just integrator — you can write an MCP server or API integration from scratch, not
• Hands-on with LLMs — comfortable with LLM APIs, prompt engineering, and agent development; you've
• Self-direction — you can take an underspecified task and figure out the parts nobody wrote down.

🎁 Benefits

• US 401(k) include 3% company match to ensure you can plan confidently for the future
• Maternity and Parental Leave — because families matter, no matter how they're made
• Mental health support for you and your family through the Modern Health app
• Full health benefits package, plus you get extra days off to prioritize your well-being
• We are an EEO employer for all, and we believe diversity fuels stronger ideas
• We are a "Best Place to Work" and we're on a mission to positively impact the world