Senior Software Engineer II, Observability

About the Role

We are seeking Senior Software Engineers who specialize across the pillars of Observability to play a pivotal role in CoreWeave’s ability to bring the best performing systems to market. Whether you focus on metrics, logging and tracing, or telemetry pipelines and visualization, you’ll have an outsized opportunity to enable both CoreWeave and its customers to understand, troubleshoot, and optimize complex systems at the forefront of Artificial Intelligence.

What You’ll Do

• Design, build, and own core observability infrastructure, including highly scalable and reliable logging, metrics, and tracing platforms.
• Develop and operate high-throughput telemetry pipelines that ingest, transform, and expose observability data, ensuring reliability, security, and transparent data migrations for platform consumers.
• Tackle observability challenges at extreme scale, supporting clusters of thousands of GPUs, petabyte-scale telemetry, and high-cardinality workloads.
• Continuously improve performance, security, reliability, and scalability of observability services through software enhancements, automation, and new feature development.
• Participate in the team’s on-call rotation to support critical production systems, focusing on root cause analysis and building durable solutions to prevent recurrence.
• Collaborate closely with internal engineering teams, applying a platform-as-a-product mindset to understand their needs and embed observability best practices and custom tooling into their systems.
• Contribute to the overall observability strategy, influencing the direction of our platform and the experience we provide to customers.

Who You Are

• 5+ years of experience in software or infrastructure engineering, with a proven track record of designing, building, and operating large-scale distributed systems in production.
• Proficient in Go (our primary language) or Python, with the ability to write clean, resilient, and testable production code.
• Hands-on Kubernetes experience in production, including containerization and microservices architectures, and familiarity with their observability challenges.
• Demonstrated experience designing, building, and delivering robust and scalable systems, with a commitment to operational excellence, high-quality code, effective testing, and progressive release strategies.
• Ability to analyze and decompose complex problems in elastic, distributed architectures into manageable, well-scoped work.
• Comfortable working with Helm and YAML-based configuration for deploying and managing services, including templating, automation, and infrastructure-as-code practices.
• A customer-obsessed, platform-minded engineer, eager to provide infrastructure as a service and apply a product lens when evaluating platform scale problems.
• Experience participating in an on-call rotation for critical production systems.

Preferred Qualifications

• Direct, hands-on experience designing, operating, or scaling logging, tracing, and/or metrics platforms (e.g., Loki, ClickHouse, Elasticsearch, Prometheus, VictoriaMetrics, Grafana, Thanos).
• Familiarity with data streaming systems (e.g., Kafka, Kafka Connect) for observability pipelines.
• Experience automating and provisioning infrastructure as part of the software development lifecycle, using tools like Terraform.
• Experience with OpenTelemetry for unified telemetry collection and instrumentation.
• Experience with modern AI platforms and workloads (e.g., large-scale training and inference, GPU-based infrastructure, MLOps tooling) is a plus.

The base salary range for this role is $182,000 to $242,000. 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. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).