Software Engineer, Kubernetes

About the role

Build, operate, and scale Kubernetes-based production infrastructure that delivers CoreWeave’s products with high reliability and performance.

Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments.

Design, implement, and maintain monitoring, alerting, and observability solutions—leveraging the Grafana ecosystem and related tools—to proactively identify and resolve production issues.

Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes.

Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs.

Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems.

Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards.

Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale.

Responsibilities

• Build, operate, and scale Kubernetes-based production infrastructure that delivers CoreWeave’s products with high reliability and performance.
• Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments.
• Design, implement, and maintain monitoring, alerting, and observability solutions—leveraging the Grafana ecosystem and related tools—to proactively identify and resolve production issues.
• Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes.
• Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs.
• Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems.
• Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards.
• Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale.

Requirements

Bring 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.

Knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations.

Proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance.

Experience in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics.

Experience in infrastructure-focused programming—especially in Go and Bash—and a deep understanding of Linux systems.

Ability to troubleshoot complex production issues, from system failures to performance bottlenecks, with strong analytical skills.

Communicate clearly across technical and non-technical stakeholders, proactively sharing knowledge and advocating for operational best practices.

Passionate about building systems that are not just functional, but robust, self-healing, and easy to operate at scale.

Take pride in driving continuous improvement, and helping set high standards for operational excellence and team culture.

Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Experience: 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.

Technical Skills: Proficiency in Kubernetes administration, container orchestration, and microservices architectures; experience with Go and Bash; strong understanding of Linux systems; experience with monitoring, observability, and incident management tools.

Skills

• Production Engineering
• SRE
• Large-Scale Infrastructure/Platform Roles
• Kubernetes Administration
• Container Orchestration
• Microservices Architectures
• Go Programming
• Bash Scripting
• Linux Systems
• Monitoring and Observability
• Incident Management
• Automation and Zero-Touch Operations
• Resilience and Disaster Recovery
• Custom Kubernetes Operators
• Intelligent Orchestration Frameworks
• Security and Reliability
• Performance Optimization

Benefits

The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

• Medical, dental, and vision insurance - 100% paid by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account (FSA)
• Health Savings Account (HSA)
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Pay

The base salary range for this role is $153,000 to $204,000.

Schedule

Not specified.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.