Production Engineer

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. 

Role Overview:

As a Production Engineer, you will play a key role in maintaining the reliability and stability of CoreWeave’s cloud infrastructure. You will work closely with the Production Engineer Team Lead and other engineers to support incident response, platform reliability, and operational improvements. This position is ideal for individuals eager to grow their technical skills, contribute to a high-performing team, and make an impact on the operational excellence of CoreWeave’s cloud services.

You will be part of a dynamic team responsible for monitoring the health of our infrastructure, troubleshooting issues, and participating in both day-to-day operational tasks and incident resolution efforts. As you gain experience, you will be guided to take on more complex responsibilities in incident management, process improvement, and system reliability.

Key Responsibilities:

Incident Management & Support:

• Assist in incident response efforts by helping identify and resolve service disruptions quickly, working under the guidance of more senior engineers.
• Help document incidents, assist with root cause analysis (RCA), and support post-incident reviews (PIRs) to identify lessons learned.
• Contribute to the development and maintenance of incident response playbooks to ensure preparedness for various failure scenarios.
• Participate in communication efforts during incidents, updating stakeholders and keeping clear records of incident activities.

Operational Support & Reliability:

• Monitor system performance and health using tools like Prometheus and Grafana, identifying any performance issues or potential incidents.
• Help implement automation and process improvements to enhance efficiency and reduce manual intervention in incident detection and recovery.
• Support the development of KPIs and SLAs for incident management and ensure alignment with team goals.
• Collaborate with engineers across teams to improve platform reliability, resilience improvements, and disaster recovery.

Team Collaboration & Development:

• Work closely with other engineers to troubleshoot system issues, refine workflows, and support ongoing operational needs.
• Participate in knowledge-sharing activities, helping improve team processes and learning from senior team members.
• Take part in training and mentorship opportunities to build technical skills and grow into more advanced responsibilities within the team.

Required Qualifications:

• 4 years of experience in cloud operations, site reliability engineering (SRE), or related technical roles.
• Understanding of cloud platforms (e.g., Kubernetes, AWS, GCP) and basic knowledge of cloud infrastructure.
• Familiarity with incident management practices and frameworks (e.g., ITIL, SRE best practices).
• Experience with monitoring and alerting tools (e.g., Prometheus, Grafana) or willingness to learn.
• Basic experience with scripting or automation tools (e.g., Python, Bash, Terraform, Ansible).
• Strong communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical team members.
• Ability to work in a fast-paced, high-pressure environment while learning and adapting quickly.

Preferred Qualifications:

• Exposure to Kubernetes, containerization, and distributed systems.
• Familiarity with change management processes and post-incident analysis.
• Experience with automated systems or self-healing infrastructure is a plus.
• A desire to learn and grow in the areas of cloud operations, reliability engineering, and incident manageme