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Indiana, United States
Remote only
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 in the U.S. Eastern Time Zone.
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.
As a Software Engineer II on the Mecatl team, you will build the platform that agents run on, and you will build it with agents. This is a hands-on role with real independence. You will deliver features and fixes across the engine, the Kubernetes-native runtime, the client surfaces (gRPC, HTTP/SSE, the TypeScript SDK, and the terminal client), and the permission and governance layers that make agent behavior safe to trust. You will go deep in one area while developing a system-wide understanding of how the harness fits together.
We are also an AI-first engineering team. We use agents throughout our own development lifecycle, and we are still working out what good looks like. Your own experiments, and what you learn from them, will feed directly into how the team works.
We do not expect every candidate to meet every point below. If this role excites you and you bring most of it, we encourage you to apply.
Compensation: The anticipated base salary range for this position is $157,500 - $192,500. In addition to base salary, this role offers equity and a comprehensive benefits package.
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At Stacklok, we believe great technology is built by teams that support, challenge, and inspire one another. We are AI maximalists, confident in AI’s potential and committed to building technology people can trust. We use AI in our own work and experiment openly.
You’ll build alongside people with deep experience in open source, cloud-native technologies, security, and developer tools. We stay close to customers, use our own products, and share what we learn to keep improving. You’ll have room to make decisions, support when you need it, and teammates who push themselves to do their best work.
We offer competitive compensation and equity, comprehensive medical, dental, and vision coverage, and a flexible hybrid or remote work environment. Our benefits include flexible PTO, paid holidays, and paid parental leave, along with team offsites to collaborate and connect in person.
If you’re excited about what we’re building and want to work with people who care about their craft, community, and each other, we’d love to hear from you.
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Stacklok Inc, is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
