Key skills
GoKubernetesDockerPlatform services developmentAPI developmentGateway developmentKubernetes operator developmentRelease and deployment toolingOpen-source collaborationDesign documentationCode reviewAICommunication
About this role
Stacklok is a technology company focused on building the foundation enterprises need to adopt AI with confidence. As a Software Engineer II on Stacklok's core platform team, you will help build and harden systems for the Stacklok Enterprise, enhancing the secure and auditable infrastructure required for AI agents in production environments.
Responsibilities:
- Build and deliver features across the platform services that make up Stacklok Enterprise, including the runtime, Kubernetes operator, gateway, and registry
- Fix bugs and harden platform systems for enterprise production use, improving stability across customer deployments
- Write testable, readable code that accounts for edge cases and error handling, and produce clear design docs for the work you take on
- Review pull requests and contribute to design discussions, working alongside technical leads, product, and fellow engineers on shared platform efforts
- Plan and sequence your own tasks and small epics independently, knowing when to pull in a teammate or escalate a design question
- Contribute to the open-source ToolHive codebase and collaborate with community contributors on shared work
Requirements:
- Proficiency in Go, writing clean, testable code that accounts for edge cases and error handling
- Working knowledge of Kubernetes and container technologies such as Docker, including isolation and networking, ideally in self-hosted environments
- Demonstrated ability to deliver features independently across a backend or platform codebase, from implementation through testing and into a release
- Experience building or operating platform services such as APIs, gateways, Kubernetes operators, or release and deployment tooling
- Demonstrated ability to write clear design docs and give thoughtful code reviews that raise the quality of shared work
- Comfort collaborating in an open-source environment
- Communication: excellent written and verbal communication, able to explain complex technical ideas clearly to technical and non-technical audiences
- Startup mentality and intrinsic motivation: self-directed and hands-on, thrives in fast-moving, ambiguous environments and drives clarity through action
- Familiarity with MCP or AI-agent infrastructure is a plus
- AI-first mindset: integrates AI tools into their development workflow to accelerate delivery and improve the quality of what they build