Sr. Software Engineer - Stacklok Enterprise (Fully Remote)

Stacklok; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Stacklok is seeking a Senior Engineer to design and build platform subsystems end to end. You will write production Go code for software running in customer Kubernetes environments and work directly with enterprise customers to onboard them and translate feedback into product improvements.

The ideal candidate will be proficient in Go, have a strong track record shipping distributed systems, and possess hands-on experience deploying Kubernetes-based apps in production across AWS, Azure, and GCP.

Qualifications

• Proficiency in Go and proven track record shipping production-grade distributed systems.
• Hands-on experience deploying applications on Kubernetes in production across AWS, Azure, GCP.
• Experience mentoring engineers and working directly with customers.

Responsibilities

• As a Senior Engineer, you will design and build platform subsystems end to end.
• Write production Go code for commercial software running in customer Kubernetes environments.
• Work directly with enterprise customers to onboard them and turn feedback into product improvements.

Skills

Go

Kubernetes

Distributed systems

Mentoring

Customer engagement

Job description

• Founded by Kubernetes co-creators Craig McLuckie and Joe Beda.
• Key open source projects include ToolHive and Mecatl.

The Role:

• As a Senior Engineer, you will design and build platform subsystems end to end.
• Write production Go code for commercial software running in customer Kubernetes environments.
• Work directly with enterprise customers to onboard them and turn feedback into product improvements.

Desired Experience:

• Proficiency in Go and proven track record shipping production-grade distributed systems.
• Hands-on experience deploying applications on Kubernetes in production across AWS, Azure, GCP.
• Experience mentoring engineers and working directly with customers.

Stacklok

Stacklok builds open, Kubernetes-native infrastructure for enterprise AI agents, enabling secure and scalable execution. It is a startup led by Kubernetes co-creators, with a culture that values openness, AI integration, and customer collaboration.