AI Platform Engineer: Build Secure, Scalable AI Runtime

Sysdig; San Francisco (CA); On-site; USD 141,000 - 177,000; Full time

Benefits offered by this job

Extra days off

401(k) Retirement Savings Plan with a

Maternity and Parental Leave

Mental health support

Full health benefits package

Job summary

Sysdig is hiring in San Francisco for a senior platform/DevOps role focused on building and securing our MCP fleet, agent platform, and Bedrock runtime. You’ll own the deploy patterns, guardrails, and cost-aware governance across AI workloads in a fast-moving cloud security environment.

The role requires hands-on AWS, full-stack capabilities, and experience shipping solutions with LLMs. Strong self-direction and a bias to ship are essential in this collaborative team.

Qualifications

• 6+ years of experience in software engineering, platform engineering, or DevOps with ownership of something in production.
• Hands-on AWS — IAM, ECS or Lambda, CloudWatch, and VPC knowledge.
• Full-stack range including backend services, APIs, and CI/CD with containerized deployments.
• Builders who can write an MCP server or API integration from scratch, not just wiring.
• Hands-on with LLMs, comfortable with LLM APIs, prompt engineering, and agent development.
• Self-directed and capable of handling underspecified tasks.

Responsibilities

• Build and run the MCP fleet — ship, secure, and patch self-hosted and managed MCP servers for business apps and databases, and manage the MCP registry.
• Own the agent platform other teams build on — the deploy pattern, guardrails, observability, and hosting substrate that let other teams ship agents without you in the loop.
• Co-own the Bedrock runtime and gateway — model access, cost attribution, content-filtering guardrails, model pinning, and quota management behind an AWS/Okta-SSO'd gateway.
• Make AI spend and usage visible — build the Bedrock-to-Snowflake pipeline, identity-matched, with usage tracking and threshold alerting.
• Make the secure path the easy path — own MDM config, desktop client setup, credentials, and auth flows for non-technical employees; build AI automations across Claude desktop, Slack, and Google Workspace.
• Build governance into the platform — route workflows by data sensitivity, enforce least privilege and auditability, and keep unproven models sandboxed away from production data as configuration.

Skills

6+ years of experience

Self-direction

LLM APIs

Prompt engineering

Experience with production systems

Cloud security familiarity

Tools

AWS

Containerized deployments

CI/CD

Job description

Sysdig is hiring in San Francisco for a senior platform/DevOps role focused on building and securing our MCP fleet, agent platform, and Bedrock runtime. You’ll own the deploy patterns, guardrails, and cost-aware governance across AI workloads in a fast-moving cloud security environment.

The role requires hands-on AWS, full-stack capabilities, and experience shipping solutions with LLMs. Strong self-direction and a bias to ship are essential in this collaborative team.