Software Engineer, Observability
About The Position
The Observability team builds and operates CoreWeave’s logging, tracing, and metrics platforms, along with the high-throughput data pipelines that power them. This team enables both internal engineers and customers to monitor, troubleshoot, and optimize AI workloads running on GPU-dense infrastructure at massive scale. About the role: As a Software Engineer on the Observability team, you will design, build, and maintain scalable systems that process and surface telemetry data across distributed environments. You’ll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices. Day to day, you’ll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure. You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior.
Requirements
- 2+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or a related field
- Proficiency in at least one programming or scripting language (e.g., Python, Go)
- Experience working with Kubernetes, containerization, and microservices architectures
- Experience participating in on-call rotations, including triaging and escalating production issues
- Hands-on experience using observability systems (metrics, logging, tracing) to debug distributed systems
Nice To Haves
- Experience operating observability platforms or databases (e.g., ClickHouse, Elastic, Loki, VictoriaMetrics, Prometheus, Thanos, OpenTelemetry, Grafana)
- Familiarity with infrastructure-as-code tools such as Terraform
- Experience with modern testing frameworks and deployment strategies (e.g., canary, blue-green)
- Experience with data streaming technologies (e.g., Kafka, Kafka Connect)
- Exposure to AI/ML infrastructure, including GPU-based systems, large-scale training/inference workloads, or MLOps tooling
Responsibilities
- Design, build, and maintain scalable systems that process and surface telemetry data across distributed environments.
- Contribute production-quality code in languages like Go and Python
- Improve system reliability through enhanced monitoring, alerting, and incident response practices.
- Collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure.
- Participate in on-call rotations and contribute to continuous improvements based on real-world system behavior.
Benefits
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
