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Cluster Api Jobs (NOW HIRING)

Net Orbit

Technical Architect (K8s & Golang)

Saratoga, CA · On-site

$73 - $88.25/hr

I am specifically focused on folks that know 1) vSphere APIs , resource mgmt., and other lifecycle APIs to integrate with, 2) K8s and K8s Cluster API , 3) Windows agents, Windows 2019 Containers and ...

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How much do cluster api jobs pay per year?

As of Aug 31, 2026, the average yearly pay for cluster api in the United States is $117,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a Cluster API?

Cluster API is an open-source project that provides a declarative, Kubernetes-style API to automate the provisioning, upgrading, and management of Kubernetes clusters. It enables users to manage clusters on different infrastructure providers using a consistent approach and set of tooling. Cluster API abstracts the infrastructure-specific details, allowing for easier cluster lifecycle management, scalability, and automation. It is widely used by DevOps teams to simplify and standardize Kubernetes cluster operations across clouds and on-premises environments.

What are the key skills and qualifications needed to thrive as a Cluster API engineer?

To thrive as a Cluster API Engineer, you need strong expertise in Kubernetes, cloud-native infrastructure, and automation, often supported by a degree in computer science or related certifications like CKA. Familiarity with tools such as Cluster API, Terraform, Docker, and CI/CD pipelines is crucial for managing scalable and reproducible clusters. Effective problem-solving, collaboration, and clear communication are essential soft skills for addressing complex technical challenges and working within DevOps teams. These skills ensure reliable infrastructure management, efficient deployment pipelines, and seamless scaling in dynamic production environments.

How does a Cluster API engineer typically collaborate with platform and operations teams to ensure smooth deployment and scalability of Kubernetes clusters?

As a Cluster API Engineer, you will work closely with platform and operations teams to automate the provisioning, scaling, and management of Kubernetes clusters across different environments. Collaboration often involves designing and implementing cluster lifecycle workflows, troubleshooting cluster issues, and ensuring that infrastructure as code practices are followed. You may participate in regular stand-ups and planning meetings with cross-functional teams to align on deployment requirements, capacity planning, and incident response strategies. This close teamwork ensures clusters are reliable, scalable, and tailored to organizational needs.
Infographic showing various Cluster Api job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $117,716 per year, or $56.6 per hour.

Principal Kubernetes Control Plane Engineer

Austin, TX • On-site, Remote

BitDeer
See more jobs at BitDeerexternal

$180K - $260K/yr

Full-time

Posted 12 days ago

Job description

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
Position Overview
We are seeking a Principal Kubernetes Control Plane Engineer to architect the foundational control plane for our AI-native NeoCloud platform. You will be responsible for building highly available, automated systems to manage the lifecycle of thousands of Kubernetes control planes, ensuring zero-downtime upgrades and seamless multi-cluster federation. This role is central to our mission of providing a "NeoCloud" experience, requiring a strategic mindset to balance complex distributed systems design with robust, production-grade engineering. You will lead the development of the "chassis" that supports our high-performance AI workloads, ensuring our infrastructure is scalable, resilient, and ready for enterprise-grade demands.
Key Responsibilities
  • Design and implement scalable control plane architectures using tools like Cluster API to enable fleet-wide automation.
  • Develop custom Kubernetes Operators and Custom Resource Definitions (CRDs) to streamline lifecycle management and orchestration.
  • Optimize etcd performance and ensure rock-solid state management across distributed cloud regions.
  • Implement secure, multi-tenant isolation mechanisms at the API server layer to support enterprise-grade security and tenancy.
  • Architect solutions for zero-downtime upgrades and multi-cluster federation to provide a seamless user experience for our AI customers.
  • Collaborate with AI Scheduling and Fabric engineering teams to ensure the control plane integrates tightly with GPU orchestration layers.
  • Lead design reviews and mentor engineers to uphold high standards of distributed systems architecture across the team.
  • Drive platform reliability by identifying and mitigating failure modes in the control plane chassis before they impact customer training or inference jobs.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
  • 8+ years of software engineering experience, with deep, hands-on expertise in Go.
  • Extensive experience contributing to or extending the Kubernetes ecosystem (e.g., Operators, API Server, etcd, Cluster API).
  • Proven track record of operating, debugging, and scaling large-scale distributed systems in production environments.
  • Deep understanding of multi-tenancy models, cluster federation, and API governance in cloud-native environments.
  • Familiarity with infrastructure automation (e.g., Terraform, CI/CD pipelines) and managed cloud services.
  • Strong technical leadership skills; ability to influence architectural decisions and align cross-functional teams.
  • Excellent communication skills, with the ability to translate complex system requirements into manageable engineering milestones.
  • Experience working in high-velocity, high-growth engineering environments is highly preferred.

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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