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# Software Engineer II

- **Company:** Coreweave Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $182,000.0 - $242,000.0
- **Contract:** Permanent contract
- **Skills:** Distributed Systems, Elasticsearch, Infrastructure as a Service (IaaS), Python (Programming Language), Prometheus, Software Engineering, Data Streaming, YAML, Data Logging, Graphics Processing Unit (GPU), Grafana, Containerization, Templating, Kubernetes, Infrastructure Automation Frameworks, Production Code, Apache Kafka, Machine Learning Operations, Vertica, Terraform, Microservices
- **Published:** October 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/80fa974d-a411-49fd-a59b-2e82417d710f/senior-software-engineer-ii-observability

## About the Role

- **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.
, - **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.
, - 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.