AI Platform Engineer - Cloud Security & LLM Ops

Sysdig, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 141,000 - 177,000; Full time

Benefits offered by this job

Extra days off

3% 401(k) match

Maternity and Parental Leave

Mental health support

Full health benefits

Job summary

Sysdig, Inc. is seeking an experienced platform engineer to own and scale critical cloud-native tooling.

You will manage the MCP fleet, platform for agents, and Bedrock components across AWS, while building AI-driven governance and secure authentication workflows. The role emphasizes hands-on engineering, owning production-critical systems, and shipping end-to-end capabilities with a focus on security, observability, and cost attribution.

Qualifications

• 6+ years of practical experience in software engineering, platform engineering, or DevOps.
• Hands-on AWS skills: IAM, ECS or Lambda, CloudWatch, and VPC knowledge.
• Full-stack experience: backend services, APIs, CI/CD, containerized deployments.
• Ability to write MCP servers or API integrations from scratch.
• Hands-on with LLMs: shipping features using LLM APIs and agent development.
• Self-directed: can take underspecified tasks and define missing pieces.

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, not a rewrite.

Skills

6+ years experience

AWS

Full-stack development

LLMs/Agent development

Self-direction

Ownership

Job description

Sysdig, Inc. is seeking an experienced platform engineer to own and scale critical cloud-native tooling.

You will manage the MCP fleet, platform for agents, and Bedrock components across AWS, while building AI-driven governance and secure authentication workflows. The role emphasizes hands-on engineering, owning production-critical systems, and shipping end-to-end capabilities with a focus on security, observability, and cost attribution.