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
AI agents are moving into production, and the harness that runs them is becoming critical infrastructure. Enterprises need that harness to be secure, auditable, and portable across models, clients, and deployment environments. Mecatl is Stacklok's open source, cloud-native agent harness. It provides the agent loop, tools, permissions, hooks, delegation, and durable sessions for running agents as production workloads on infrastructure you operate. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Proficiency in Go, writing clean, testable code that accounts for edge cases and error handling, plus clear design docs and thoughtful code reviews
- Demonstrated ability to deliver features independently across a backend or platform codebase, from implementation through testing and into a release
- Working knowledge of distributed systems and cloud-native infrastructure, such as Kubernetes, containers, and service APIs (gRPC or HTTP). Experience with durable state, concurrency, or streaming is a plus
- A personal AI-assisted development workflow you can walk through, with a clear sense of where it helps, where it breaks, and its risks, such as prompt injection and excessive agent permissions
- Interest in agent infrastructure, such as agent loops, tool use, MCP, model providers, or evaluation. Prior experience building on or contributing to an AI platform or open source project is a plus
- Ideally, a product engineering mindset: curious about users and their problems, comfortable questioning requirements, and motivated by shipping something people use
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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