Sr. Software Engineer - Stacklok Enterprise

Description

The company is led by CEO Craig McLuckie and CTO Joe Beda, who both helped create Kubernetes. Kubernetes gave enterprises more control over where and how they run software, and the company now applies the same open approach to AI agents.

Enterprises need infrastructure that runs long-running, increasingly autonomous AI agents securely and reliably at scale, while they keep control of their data, systems and models. The company is building open, Kubernetes-native software that handles agent execution, secure access to tools and systems, and central controls for identity, permissions and policy. The architecture is still being defined, so you can help shape a core layer of enterprise AI.

The company works in the open with its community. Its open-source work includes ToolHive, an MCP platform that secures more than 20 million tool calls each month, and Mecatl, a cloud-native agent harness. Its commercial product, the company Enterprise, adds an AI gateway, central identity, policy enforcement and observability.

Enterprises want to run AI agents on their own Kubernetes clusters, behind their firewalls, and connected to the identity systems they already use. The commercial platform is built for that, by a team whose founders co-created Kubernetes.

Customers are onboarding now. You would help the first ones reach production and also work with some of them as design partners on new features and products. The category is new, and feedback from customers can reach the shipped product quickly.

Within 6 to 12 months, success would look like a complete subsystem you designed and shipped that now runs in production for enterprise customers, one or more customers moved from proof of concept to production on their own Kubernetes with their feedback turned into a feature, and a clear step up in the team's engineering bar through mentoring and stronger product engineering culture. It would also include better release practices, with AI-assisted workflows used where they helped and avoided where they caused rework, and you as the go-to decision maker for one or more platform areas.

Responsibilities

• Own platform subsystems in the company Enterprise from technical design through production and ongoing improvement.
• Write production Go for commercial software that runs reliably in customer Kubernetes environments, with observability, tests and error handling included.
• Make design tradeoffs for the areas you own, working with product and engineering leadership.
• Mentor the engineers you work alongside.
• Work with customers to get the enterprise platform running in their environments and turn their feedback into product changes.
• Contribute to the open-source ToolHive codebase and work with community contributors on shared efforts.
• Use AI-assisted workflows and build reusable tooling and playbooks that speed up work on each customer engagement.

Requirements

• Strong Go skills, with a track record of designing and shipping complete production-grade distributed systems in a commercial product.
• Hands-on experience running applications on Kubernetes in production, ideally across customer cloud environments such as AWS, Azure and GCP.
• A record of mentoring engineers, leading code reviews and raising the quality of a team's output.
• Experience working with customers during onboarding and debugging, from diagnosing problems in their environments to getting fixes into the codebase.
• An AI-first approach, including experience adding AI tools to development work and turning AI-assisted workflows into steady productivity gains.
• Clear written and spoken communication, able to explain complex technical ideas to both technical and non-technical people.
• A startup mindset and self-motivation, working hands-on with little direction and staying effective in fast-moving, unclear situations.
• The posting says you do not need every item listed. If the role appeals to you and you match most of them, you are encouraged to apply.

Conditions

Remote role based in North America, with a strong preference for candidates in the U.S. Eastern Time Zone.

Anticipated base salary is $189,000 to $231,000, plus equity and a comprehensive benefits package.

The company offers a flexible hybrid or remote work setup.

The company provides equal opportunity for all applicants.

Benefits

• Competitive compensation and equity.
• Comprehensive medical, dental and vision coverage.
• Flexible PTO, paid holidays and paid parental leave.
• Team offsites for in-person collaboration.
• Work alongside people with deep experience in open source, cloud-native technology, security and developer tools.
• The company uses its own products, stays close to customers, and shares what it learns. Engineers get room to make decisions and support when they need it.