Software Engineer, Observability
CoreWeave · New York, NY · 2 wk ago
Engineering$109k–$145k/yrFull-time
About the role
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.
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, while improving 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.
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.
Qualifications
- 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.
Skills
Not specified.
Benefits
Not specified.
Pay
The base salary range for this role is $109,000 to $145,000. 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.
Schedule
Not specified.