Senior Software Engineer, Kubernetes

Core Weave•New York, NY

50d•$185,000 - $242,000•Hybrid

About The Position

CoreWeave is the AI Hyperscaler, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. In this role, you will play a key part in ensuring the availability, reliability, and scalability of one of the industry's largest Kubernetes environments. As a senior member of the team, you will drive operational excellence, implement robust automation, and help shape the systems that keep CoreWeave's cloud running smoothly.

Requirements

Bring 5+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.
Are deeply knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations.
Have a proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance.
Possess expertise in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics.
Demonstrate 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.
Are 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.

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.