AI Platform Engineer
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Job Description
AI Platform Engineer building secure agent, MCP, and AWS Bedrock infrastructure. Enabling Sysdig’s cloud security teams with governed AI platforms, automation, and observability.
Responsibilities:
- Build and run the MCP fleet, including shipping, securing, and patching self-hosted and managed MCP servers for business apps and databases, and managing the MCP registry
- Own the agent platform's deployment patterns, guardrails, observability, and hosting substrate
- Co-own the Bedrock runtime and gateway, including model access, cost attribution, content-filtering guardrails, model pinning, and quota management behind an AWS/Okta-SSO'd gateway
- Build the Bedrock-to-Snowflake pipeline with identity matching, usage tracking, and threshold alerting
- Own MDM configuration, desktop client setup, credentials, and authentication flows for non-technical employees
- Build AI automations across Claude desktop, Slack, and Google Workspace
- Route workflows by data sensitivity, enforce least privilege and auditability, and sandbox unproven models away from production data
Requirements:
- 6+ years in software engineering, platform engineering, or DevOps, including ownership of something in production that others depended on
- 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
- Ability to write an MCP server or API integration from scratch, not just wire up a managed connector
- Hands-on experience with LLMs, LLM APIs, prompt engineering, and agent development; shipped something with them
- Ability to take an underspecified task and figure out the parts nobody wrote down
Benefits:
- Extra days off to prioritize your well-being
- 401(k) Retirement Savings Plan with a 3% company 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
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