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Software Engineer, Observability

External
CoreWeave logoCoreweave · New York, NY
$109K–$145K/yrFull-timeOn-site2w ago
GrafanaIncident ResponseKafkaKubernetesMicroservicesMLOps
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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
  • Preferred:
  • 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
  • Why CoreWeave?
  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

Benefits

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:Medical, dental, and vision insurance - 100% paid for by CoreWeaveCompany-paid Life InsuranceVoluntary supplemental life insuranceShort and long-term disability insuranceFlexible Spending AccountHealth Savings AccountTuition ReimbursementAbility to Participate in Employee Stock Purchase Program (ESPP)Mental Wellness Benefits through Spring HealthFamily-Forming support provided by CarrotPaid Parental LeaveFlexible, full-service childcare support with Kinside401(k) with a generous employer matchFlHealth insuranceDental insuranceVision insurance401(k)Flexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: 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.

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