What You’ll Do:

The Common Services organization at CoreWeave is responsible for the shared platforms, APIs, and foundational services that power our AI cloud products and internal engineering teams. From authentication and authorization to core platform primitives and developer experience tooling, this organization ensures that the rest of CoreWeave can build, ship, and operate reliably at scale.

 

As Reliability Lead, Common Services, you will establish and lead the Reliability Engineering and production operations practice for this organization. You’ll partner closely with engineering leaders and teams across Common Services to define how we build, release, monitor, and operate critical services—raising the bar on reliability, availability, and operational excellence across the board.

About the Role:

As Reliability Lead, Common Services, you will be responsible for defining the reliability strategy, processes, and standards for the Common Services portfolio and driving consistent, high-quality operational practices across multiple teams. You’ll monitor production incidents within Common Services, and work directly with your partner teams to design systems that are reliable, observable, and supportable. Your day-to-day will blend hands-on technical work and cross-functional leadership to drive continuous improvement of Common Services production operations.

 

In this role, you will:

 

• Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization.
• Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil
• Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs.
• Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation paths, incident tooling, post-incident reviews, and follow-through on corrective actions.
• Drive the observability strategy (metrics, logs, traces, dashboards, alerts) for Common Services, ensuring we have actionable visibility into the health, performance, and capacity of key systems.
• Collaborate with engineering leads to design and review architectures for reliability, scalability, resilience, and operability, including failure modes, redundancy, and graceful degradation.
• Lead efforts to automate and harden operational workflows, including deployments, rollbacks, configuration management, change management, and routine maintenance tasks.
• Build strong, trust-based relationships with partner teams and stakeholders, becoming a go-to leader for production readiness and operational risk within Common Services.
• Hire, mentor, and develop SRE and production engineering talent, fostering a culture of continuous improvement, learning from incidents, and humane on-call.
• Partner with other SRE and production engineering leaders across CoreWeave to align on global practices, tools, and reliability goals, representing the needs and constraints of Common Services.

Who You Are:

• 7+ years of experience in Site Reliability Engineering, Production Engineering, or similar roles working on distributed systems or cloud/platform services.
• 2+ years of technical leadership experience (team lead, staff/principal engineer, or people manager) where you drove reliability and operational improvements across multiple services or teams.
• Strong background in Linux-based production environments, containers, and orchestration technologies (e.g., Kubernetes), including debugging complex issues in live systems.
• Hands-on experience with observability stacks (metrics, logging, tracing) and alerting systems, and a track record of designing meaningful SLIs/SLOs and alert strategies.
• Proven experience running on-call rotations and incident response, including leading high-severity incidents and driving high-quality post-incident reviews.
• Demonstrated ability to design for reliability (capacity planning, redundancy, failover, backoff, circuit breaking, graceful degradation, etc.) in large-scale or mission-critical systems.
• Comfortable working with infrastructure-as-code and automation tooling (e.g., Terraform, Ansible, Helm, CI/CD pipelines) to make operations repeatable, auditable, and safe.
• Strong cross-functional communication skills—you can translate between engineering, product, and business stakeholders and influence without relying solely on authority.
• A bias toward data-driven decision making, using production data, capacity signals, and incident trends to inform priorities and investments.

Preferred:

• Background working with GPU workloads, high-performance computing, or latency/throughput-sensitive systems.
• Experience with multi-tenant, multi-region, or highly regulated environments, and the associated reliability considerations.
• Familiarity with service ownership models and strong opinions on how to align ownership, on-call, and accountability in a scalable way.
• Experience mentoring or managing senior engineers and building high-performing teams through coaching, feedback, and clear expectations.

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. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

 

• You care deeply about operational excellence and see reliability as a product feature, not an afterthought.
• You’re excited by the challenge of bringing order and clarity to complex, rapidly evolving systems.
• You’re passionate about building humane, sustainable on-call practices and learning from incidents without blame.
• You enjoy partnering with multiple teams, influencing through context and clarity rather than authority alone.
• You’re curious about how to run large-scale, GPU-intensive workloads reliably and efficiently in production.

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 provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization 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 $206,000 to $303,000. 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).