Sr. Software Engineer - Platform

Deep proficiency in Go, with a proven track record building production-grade backend or platform systems.

Knowledge of Kubernetes and container technologies, including operators, isolation, and networking in production environments.

Proven track record designing and shipping complete systems end to end, from architecture through production and iteration.

Experience designing for reliability and observability, building systems with monitoring, testing, and evaluation in mind.

Proven track record building or operating platform services such as gateways, registries, runtimes, or deployment tooling.

Familiarity with MCP is a plus.

The anticipated base salary range for this position is$189,000 - $231,000. In addition to base salary, this role offers equity and a comprehensive benefits package.

#LI-Remote

Why Join Us?

At Stacklok, we believe great technology is built by teams that support, challenge, and inspire one another. We are AI maximalists, confident in its potential and committed to ensuring it is used in ways that are safe and sustainable.

You will join a highly motivated, collaborative team with deep experience building some of the world's most impactful technologies, with strong roots in open source, cloud-native technologies, security, and developer tools.

We offer competitive compensation and equity, comprehensive medical, dental, and vision coverage, flexible PTO and paid holidays, paid parental leave, and a flexible, hybrid-or-remote work environment, plus team offsites in unique destinations to collaborate and connect in person.

Enterprises are moving AI agents from experimentation into production, and they need infrastructure that is secure, auditable, and runs behind their own firewall.

As a Senior Engineer on Stacklok's core platform team, you will own subsystems within Stacklok Enterprise, the production distribution of ToolHive, the open-source platform for running and governing MCP servers.

You will design and deliver whole subsystems end to end, anchor meaningful projects, and lead them from design through implementation and into production.

These are the systems that let Fortune 500 and Global 2000 companies run AI agents securely at scale.

You will make the design tradeoffs that determine how your subsystems evolve, and mentor the engineers building alongside you.

Customers are signing on now, the platform is being hardened for their production environments, and you will solve hard infrastructure problems in an emerging category alongside a team whose founders co-created Kubernetes.