Staff AI Platform Engineer

Team: Business Operations

Location: San Francisco

Commitment: Regular - Full Time

Workplace Type: remote

What you will do

Drive the business-side Bedrock runtime and gateway configuration - model access, cost attribution, content-filtering guardrails, model pinning, and quota management, behind an AWS/Okta-SSO'd gateway - co-owned with our DevX lead, who leads the shared-substrate architecture.
Build and run the MCP fleet - ship, secure, and patch self-hosted and managed MCP servers for business apps and databases, and own the MCP registry. Partner with IT to graduate MCPs into stable, IT-managed assets.
Make the secure path the easy path without administering identity or devices yourself: author the MDM config payload and the Okta-group-to-IAM mapping that IT pushes and enforces, and specify the desktop client setup and auth flows for non-technical employees.
Build the AI and agent-triggered automations (approvals, spend alerts, agent-initiated workflows); general business automation stays with IT.
Own the technical direction for the agent-hosting substrate other teams build on - the design docs and standards, not just the code. There is no existing pattern today; you set it, and other teams adopt it as their default.
Define what "healthy" and "safe to ship" mean for every agent and MCP server on the platform - the cost, usage, and reliability telemetry (the Bedrock-to-Snowflake pipeline, identity-matched, with threshold alerting), plus a tiered-autonomy model: what stays read-only, what can act, what needs a human in the loop or a rollback path.
Build the governance that standard requires. Route workflows by data sensitivity, enforce least privilege and auditability, and keep unproven models sandboxed away from production data.
Drive alignment across IT, Security, and DevX on the platform's direction - get multiple teams building against a written standard without owning their roadmaps.

What you will bring with you

• 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.
• Builder - you can write an MCP server or API integration from scratch, not just wire up a managed connector.
• Hands-on with LLMs - comfortable with LLM APIs, prompt engineering, and agent development; you've shipped something with them.
• Self-direction - you can take an underspecified task and figure out the ambiguous parts to create impactful solutions.
 

What we look for

• A bias to ship, and to automate the thing you just did by hand.
• Willingness to own the boring parts: upgrades, credentials, quotas, on-call reality.
• Candor: you raise problems and disagreements early, including when a platform choice looks wrong.
• Judgment about when to buy instead of build. We would rather run a small, coherent stack than a perfect, sprawling one.

When you join Sysdig, you can expect

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