Senior Software Engineer, Observability Insights

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.

About the role:

We are seeking senior engineers to lead our Observability Insights effort, building the product experiences and agentic interfaces that sit on top of our foundational telemetry layer. You will play a pivotal role in enabling CoreWeave and its customers to understand, troubleshoot, and optimize complex AI systems by delivering core building blocks like multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers. You’ll collaborate closely with PMs and engineering leadership to shape the end-to-end observability experience, providing an outsize opportunity to influence how the world interacts with the forefront of Artificial Intelligence.

Some of what you’ll work on:

• Design and execute the development of highly available, multi-tenant APIs that expose telemetry and derived insights in an developer obsessed way.
• Modernize how users interact with data by building agentic experiences, including MCP servers, agentic tools and API gateways that safely expose foundational telemetry.
• Build agentic observability capabilities that will enable agentic workflows for guided debugging, workload optimization, and incident summarization to empower CoreWeavers and customers alike.
• Develop and enforce best practices regarding the health of telemetry data pipelines, specifically focused on correlation primitives and aggregation services for RCA and performance detection.
• Improve the performance, security, reliability, and scalability of insights services including SLO ownership and latency optimization while participating in the team’s on-call rotation.
• 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 

 

Who you are:

• Six or more years of experience in software or infrastructure engineering, with a focus on building production-grade backend systems and distributed APIs.
• You are customer obsessed, ecstatic to provide infrastructure as a service, and default to adopting a product lens when building developer-facing surfaces like SDKs and CLIs.
• Versed in reliability engineering concepts, including evaluation datasets for LLMs, error budgets for platform services, and fault-tolerant design for multi-tenant systems.
• Familiar with various observability systems like ClickHouse, Loki, Victoria Metrics, Prometheus, and Grafana.
• Experienced in building agentic applications or LLM features, with a pragmatic approach to grounding, tool calling, and operational safety.
• Comfortable with the idea of using Go as your primary programming language, but capable of collaborating with Python components when required for agentic layers.
• Work with a passionate team of engineers in an iterative, high-trust agile environment to ensure the collection-to-insights pipeline works end-to-end.
  
  

Preferred:

• Operated Kubernetes clusters at scale with experience of debugging real-world AI workloads.
• Experience with logging, tracing, and metrics platforms in production and at scale, with a deep understanding of cardinality, indexing, and query performance.
• Experienced running distributed systems/APIs services at cloud-scale, including event streaming or data pipeline management.
• Experience in building services/products with LLMs, MCP and Agentic frameworks like Langchain, AgentCore. 

The base salary range for this role is $165,000 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). 

What We Offer

The range we’ve posted r