Senior Software Engineer, Observability

About the role

Join CoreWeave’s Observability team, responsible for building the systems that give our customers and internal teams unparalleled visibility into complex AI workloads. Our team empowers engineers to understand, troubleshoot, and optimize high-performance infrastructure at massive scale.

Responsibilities

• Design, build, and maintain core observability infrastructure spanning metrics, logging, tracing, and telemetry pipelines.
• Develop highly reliable and scalable systems.
• Collaborate with internal engineering teams to embed observability best practices.
• Tackle performance and reliability challenges across clusters of thousands of GPUs.
• Contribute to platform strategy.
• Participate in on-call rotations to ensure critical production systems remain robust and operational.

Requirements

• 5+ years of experience in software or infrastructure engineering with a focus on designing, building, and operating large-scale distributed systems in production.
• Proficient in Go or Python with experience writing clean, testable, and resilient production code.
• Hands-on experience with Kubernetes, containerization, and microservices architectures in production environments.
• Proven ability to design and deliver scalable, robust systems with high-quality code, automated testing, and progressive release strategies.
• Skilled in decomposing complex problems in distributed architectures into manageable, well-scoped work.
• Familiar with Helm and YAML-based configurations for deploying and managing services, including templating, automation, and infrastructure-as-code practices.
• Experience participating in on-call rotations for critical production systems.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or related field.
• Preferred Experience: designing, operating, or scaling logging, metrics, or tracing platforms (e.g., Loki, ClickHouse, Elasticsearch, Prometheus, VictoriaMetrics, Grafana, Thanos).
• Familiarity with data streaming systems for observability pipelines (e.g., Kafka, Kafka Connect).
• Experience automating infrastructure provisioning using tools like Terraform.
• Knowledge of OpenTelemetry for unified telemetry collection and instrumentation.
• Exposure to modern AI workloads and GPU-based infrastructure, including large-scale training and inference.

Skills

You love building systems that provide deep visibility into complex, high-scale environments. You're curious about observability, telemetry, and platform performance at massive scale. You're an expert in distributed systems and engineering resilient, scalable software.

Benefits

• The base salary range for this role is $139,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.
• In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
• The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process.

Pay

The base salary range for this role is $139,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

Schedule

We strive for both market alignment and internal equity when determining compensation. In addition to a competitive salary, we offer a variety of benefits to support your needs.