AI Platform Engineer

Sysdig Cloud
San Francisco
Workplace: RemoteFull timeUSD 141,000 - 177,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 6+ yearsSkills: ["Self-direction","Bias to ship","Ownership","Candor","Judgment"]

Build and run Sysdig’s MCP fleet, including secure self-hosted and managed MCP servers plus registry management. Own the agent platform foundations—deployment patterns, guardrails, observability, and hosting substrate—so other teams ship agents without you in the loop. Co-own the Bedrock runtime and gateway with controls like guardrails, cost attribution, and quota management, and make AI spend/usage visible via a Bedrock-to-Snowflake pipeline. Strengthen security with MDM, credentials/auth flows, and governed routing by data sensitivity.

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FursaFursa
Sysdig Cloud
Sysdig Cloud
1 week ago

AI Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and run Sysdig’s MCP fleet, including secure self-hosted and managed MCP servers plus registry management. Own the agent platform foundations—deployment patterns, guardrails, observability, and hosting substrate—so other teams ship agents without you in the loop. Co-own the Bedrock runtime and gateway with controls like guardrails, cost attribution, and quota management, and make AI spend/usage visible via a Bedrock-to-Snowflake pipeline. Strengthen security with MDM, credentials/auth flows, and governed routing by data sensitivity.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Build and run the MCP fleet by shipping, securing, and patching self-hosted and managed MCP servers for business apps and databases, and manage the MCP registry.
  • •Own the agent platform foundations other teams build on, including deploy pattern, 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.
  • •Make AI spend and usage visible by building a Bedrock-to-Snowflake pipeline with identity-matched usage tracking and threshold alerting.
  • •Own the secure path with MDM configuration, desktop client setup, credentials and auth flows for non-technical employees, and build AI automations across Claude desktop, Slack, and Google Workspace.

Pay and Benefits

Salary: USD 141,000 - 177,000 annually
Perks:401kExtra DaysMaternity LeaveParental LeaveHealth Insurance

Key Requirements

  • •6+ years in software engineering, platform engineering, or DevOps, with ownership of something in production that others depended on.
  • •Hands-on AWS experience including IAM, ECS or Lambda, CloudWatch, and working VPC knowledge.
  • •Ability to work across the stack: backend services, APIs, CI/CD, and containerized deployments.
  • •Comfort building with LLMs using LLM APIs, prompt engineering, and agent development (with something shipped).
  • •Self-directed execution for underspecified tasks, with a bias to ship and automate what you build.
Experience:6+ years
Skills:Self-directionBias to shipOwnershipCandorJudgment
Tech Stack:MCPBedrockAWSIAMECSLambdaCloudWatchVPCAPIsCI/CDContainersSnowflakeOktaSSOMDMClaude desktopSlackGoogle WorkspaceLLM APIsPrompt engineering

Company Brief

Sysdig Cloud
Provides cloud-native visibility, monitoring, and security for containers and Kubernetes environments. Offers runtime threat detection, vulnerability management, and performance monitoring to help DevOps and security teams secure and troubleshoot cloud-native applications.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn