Jobs · Engineering · New York

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.

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