What are the responsibilities and job description for the Senior Software Engineer, Kubernetes position at Jobright.ai?
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Job Summary:
CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. In this role, you will ensure the availability, reliability, and scalability of one of the industry’s largest Kubernetes environments, driving operational excellence and implementing robust automation.
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.
• Mentor and support other engineers in production best practices, fostering a culture of high accountability and operational awareness.
Qualifications:
Required:
• 5 years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.
• Deep knowledge 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.
• Expertise in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics.
• Strong proficiency in infrastructure-focused programming—especially in Go and Bash—and hold a deep understanding of Linux systems.
• Excel at troubleshooting complex production issues, from system failures to performance bottlenecks, and approach problems methodically 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 mentoring peers, driving continuous improvement, and helping set high standards for operational excellence and team culture.
Company:
CoreWeave is a cloud-based AI infrastructure company offering GPU cloud services to simplify AI and machine learning workloads. Founded in 2017, the company is headquartered in Livingston, New Jersey, USA, with a team of 501-1000 employees. The company is currently Public Company.
