What you will do
- 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.
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, not just integrator — 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 parts nobody wrote down.
What we look for
- Bias to ship — and to automate whatever you just did by hand.
- Ownership of the boring parts — upgrades, credentials, quotas, on-call.
- Candor — you raise problems and disagreements early, even about platform choices.
- Judgment on buy vs. build — you'd rather run a small, coherent stack than a sprawling "perfect" 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
Skills Required
- 6+ years of experience in software engineering, platform engineering, or DevOps
- Production ownership of systems depended on by others
- Hands-on AWS experience with IAM, ECS or Lambda, CloudWatch, and VPC
- Backend services and API development experience
- CI/CD and containerized deployment experience
- Ability to build MCP servers or API integrations from scratch
- Experience with LLM APIs, prompt engineering, and agent development
- Ability to work independently on underspecified tasks
What We Do
Sysdig delivers cloud security the right way with open innovation, agentic AI, and the uncompromising truth of runtime. In a world of black boxes and blind spots, Sysdig helps security and development teams prevent, detect, and respond to threats in the moment. AI is only as powerful as the signals it receives, and Sysdig Sage™ – the first agentic AI analyst for cloud security – is fueled by the deepest runtime intelligence in the industry. It doesn’t just observe. It reasons and acts with the context, speed, and precision that modern teams need to build and defend innovation in real time. Founded by the creators of Falco and Wireshark, Sysdig is trusted by more than 60% of the Fortune 500 and is built for those who refuse to compromise on security.
Why Work With Us
Sysdig's global expansion is fueled by our dedicated "Sysdiggers," known for collaboration, innovation, & transparency. With a diverse, international presence, we value every voice & are committed to our core values. We prioritize well-being with a top-tier benefits package. Join us to empower our team, thrive, & deliver our best work globally.
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