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.
• Full-stack range — backend services, APIs, CI/CD, and containerized deployments.
• Builder mindset — can write an MCP server or API integration from scratch.
• Hands-on with LLMs — comfortable with LLM APIs, prompt engineering, and agent development.
• Self-direction — can take an underspecified task and figure out all the parts.

🎁 Benefits

• Extra days off to avoid burnout and maintain well-being.
• 401(k) Retirement Savings Plan with a 3% employer match.
• Maternity and Parental Leave.
• Mental health support for you and your family through the Modern Health app.
• Full health benefits package for you and your family.