Software Engineer, Kubernetes
CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
- Location
- Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
- Salary
- $153,000 to $204,000
- Funding
- $2.0B
- Posted
- Jun 20, 2025
CoreWeave is hiring a Software Engineer, Kubernetes based in Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at CoreWeaveRole details
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: 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 member of the team, you will drive operational excellence, implement robust automation, and help shape the systems that keep CoreWeave’s cloud running smoothly. 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. Who You Are: Bring 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles. Are 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 experience in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics. Demonstrate knowledge 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 driving continuous improvement, and helping set high standards for operational excellence and team culture. What Success Looks Like You deliver stable, robust, and highly-available systems that consistently meet or exceed uptime and performance targets. You champion initiatives that drive automation, reduce operational toil, and increase the efficiency of incident response. You actively contribute to a blameless culture of learning, mentoring others in operational best practices and production engineering principles. You help CoreWeave maintain industry leadership through flawless execution in supporting demanding, AI-powered workloads at scale Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 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. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time empl
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