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# Software Engineer

- **Company:** Coreweave, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $109,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Databases, Software Debugging, DevOps, Distributed Systems, Monitoring of Systems, Python (Programming Language), Reliability Engineering, Prometheus, Software Engineering, Data Streaming, Data Logging, Scripting, Grafana, Reliability of Systems, Containerization, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Apache Kafka, Machine Learning Operations, Vertica, Terraform, Microservices
- **Published:** July 30, 2026
- **Apply:** https://www.dice.com/job-detail/1889de39-53e7-488b-a0bc-b3b44827112f

## About the Role

* 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

## Description

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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