Stacklok gives enterprises an open, Kubernetes-native architecture to run AI agents securely with no vendor lock-in. Led by the co-creators of Kubernetes. Backed by Accel and Madrona.
About the role
Enterprises are moving AI agents into production, and they want to run them the way they run everything else: on their own Kubernetes clusters, behind their firewall, and connected to the identity systems they already use. Stacklok Enterprise, our commercial platform for running and governing AI agents, is built for that, by a team whose founders co-created Kubernetes. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Proficiency in Go, with a proven track record designing and shipping complete production-grade distributed systems as part of a commercial software product
- Hands-on experience deploying and running applications on Kubernetes in production, ideally across different customer cloud environments, such as AWS, Azure and GCP
- Demonstrated experience mentoring engineers, driving code review, and raising the quality of a team's work
- Experience working directly with customers to onboard them and to debug the product, from diagnosing issues in their environments to driving fixes back into the codebase
- AI-first mindset, with experience integrating AI tools into development practices and turning AI-assisted workflows into repeatable velocity gains for the team
- Excellent written and verbal communication, with the ability to explain complex technical ideas to technical and non-technical audiences
More about this role
Stacklok is led by CEO Craig McLuckie and CTO Joe Beda , two of the creators of Kubernetes. Kubernetes helped give enterprises more freedom over where and how they run software. Now we're bringing that same open approach to AI agents.
As AI agents take on more autonomous, long-running work, enterprises need infrastructure to run them securely and reliably at scale, without giving up control of their data, systems, or models. We're building open, Kubernetes-native infrastructure that brings together agent execution, secure access to tools and systems, and centralized controls for identity, permissions, and policy. This is an opportunity to help shape a foundational layer for enterprise AI while the architecture is still being defined.
We build in the open alongside the community. Our open source projects include ToolHive , an MCP platform that secures more than 20 million tool calls each month, and Mecatl , a cloud-native agent harness. Our commercial offering, Stacklok Enterprise , extends these capabilities with an AI gateway, centralized identity, policy enforcement, and observability.
This is a remote role based in North America, with a strong preference for candidates located...
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