About the Company
The company is a CNCF (Cloud Native Computing Foundation) organization with a valuation of over $1 billion, developing products in cloud infrastructure and AI infrastructure. Its work focuses on Kubernetes technology, scalable infrastructure, and automation.
About the Role
Realm is recruiting a Senior/Staff Engineer for a company building a high-scale Kubernetes SaaS platform. This role is suited to an experienced engineer with strong Go development skills and hands-on expertise in Kubernetes custom resources.
You’ll work on backend services and infrastructure automation, design scalable solutions with developers’ needs in mind, and collaborate with experienced engineers to improve the Kubernetes user experience. The position also involves mentoring teammates and helping establish engineering best practices as the team grows.
Key Responsibilities
•Design and build scalable infrastructure solutions with a focus on developer experience.
•Develop backend services and infrastructure automation using Go.
•Contribute to the development of a high-scale Kubernetes SaaS platform.
•Work with Kubernetes technologies, including custom resources.
•Collaborate with engineers to create seamless experiences for Kubernetes users.
•Mentor team members and help establish engineering best practices.
•Contribute to cloud infrastructure and Kubernetes automation initiatives.
•Support the development of impactful open-source technology.
Required Qualifications
•6+ years of professional engineering experience.
•Strong Go development skills.
•Experience with Kubernetes custom resources.
•Expertise in Kubernetes.
•Experience with cloud platforms such as AWS, GCP, or Azure.
•Strong understanding of system design.
Preferred Qualifications / Requirements
The original listing does not specify separate preferred qualifications. Experience with Go, Kubernetes custom resources, cloud platforms, and system design is highlighted as part of the expected background.
Salary & Benefits
•Compensation of up to $210,000, plus equity.
•Opportunity to work on open-source technology in the cloud and AI infrastructure space.
•Technical collaboration with experienced engineers on Kubernetes automation and scalable infrastructure.
Location & Work Arrangement
•Work arrangement: Remote.
•Eligible locations: United States and Canada.
•Interview process: Four stages.