Sysdig

AI Platform Engineer

Sysdig
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10 days ago
Raleigh, NC, USA or San Francisco, CA, USASenior
H1B sponsor

Responsibilities

  • Build, secure, patch, and operate self-hosted and managed MCP servers and manage the MCP registry.
  • Own the agent platform's deployment patterns, guardrails, observability, and hosting substrate.
  • Co-own the Amazon Bedrock runtime and gateway, including model access, cost attribution, content filtering, model pinning, and quota management.
  • Build an identity-matched Bedrock-to-Snowflake usage pipeline with tracking and threshold alerting.
  • Manage MDM configuration, desktop setup, credentials, authentication flows, and AI automations across Claude desktop, Slack, and Google Workspace.
  • Implement data-sensitivity routing, least privilege, auditability, and sandboxing for unproven models.

Requirements

  • At least 6 years of experience in software engineering, platform engineering, or DevOps, including ownership of a production system used by others.
  • Hands-on AWS experience with IAM, ECS or Lambda, CloudWatch, and VPCs.
  • Full-stack experience with backend services, APIs, CI/CD, and containerized deployments.
  • Ability to build MCP servers or API integrations from scratch rather than only configuring managed connectors.
  • Hands-on experience with LLM APIs, prompt engineering, and agent development, including shipping an LLM-powered project.
  • Ability to work independently on underspecified problems and make practical buy-versus-build decisions.

Benefits

  • Extra days off for well-being.
  • 401(k) retirement savings plan with a 3% company match.
  • Maternity and parental leave.
  • Mental health support through the Modern Health app for employees and families.
  • Full health benefits for employees and families.
  • Full-time position based in the U.S.; the posting does not state a remote or office schedule.

Tech Stack

AWSSnowflake
Sysdig

About Sysdig

501-1,000 employees

Sysdig builds a cloud-native security platform for containers, Kubernetes, and public clouds, sold to security and DevOps teams as SaaS subscriptions. Its products cover real-time threat detection and response, vulnerability management, and compliance, leveraging runtime insights and the open source Falco engine. Founded in 2013 and headquartered in San Francisco, the privately held company serves enterprises running production Kubernetes and multicloud environments.

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