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Senior Production Engineer, Tooling & Frameworks

Job in Livingston, Essex County, New Jersey, 07039, USA
Listing for: CoreWeave
Full Time position
Listed on 2026-01-25
Job specializations:
  • Software Development
    AI Engineer
Job Description & How to Apply Below

Overview

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave 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, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Learn more at

About The Role

Production Engineering ensures Core Weave’s cloud runs with world-class reliability, performance, and operational excellence. Herd is our newest innovation: an agentic AI platform that serves as Core Weave’s intelligent SRE assistant — combining AI reasoning, data infrastructure, and observability into an autonomous operational intelligence layer for internal use.

As a Production Engineer on Herd, you’ll define and build the systems that power a scalable agentic ecosystem. You’ll design distributed services and data pipelines that process, embed, and retrieve operational knowledge at scale, enabling LLM-powered agents to work alongside human engineers in production. This is a hands-on role at the intersection of AI operations, distributed systems, and data infrastructure.

What You’ll Do
  • Architect and build large-scale distributed systems that power AI SRE Platforms.
  • Design data infrastructure for AI reasoning (embedding generation, context retrieval, vector stores) optimized for real-time operational queries.
  • Build agent orchestration and lifecycle components so agents can communicate, delegate, and reason collectively across Core Weave systems.
  • Integrate AI SRE Platform with a large number of internal systems (Kubernetes, observability platforms, etc.) to enable end-to-end automation and insights.
  • Lead architectural design discussions and set technical direction for AI-driven reliability systems.
  • Partner across Production Engineering, Data Engineering, ML Infrastructure, and Platform to operate AI SRE as a high-availability platform embedded in critical reliability workflows.
  • Develop services that interpret telemetry, detect anomalies, and generate RCA (root cause analysis) and PIR (post-incident review) artifacts; trigger automated mitigations where appropriate.
  • Codify operational best practices into services, APIs, and Kubernetes-native components.
  • Participate in an on-call rotation supporting the systems you build.
What You’ve Worked On (Minimum Qualifications)
  • 5+ years in software or infrastructure engineering building and operating distributed systems at scale.
  • Proficiency in Python (or similar), with experience delivering production microservices and data pipelines.
  • Expertise in Kubernetes, container orchestration, and cloud-native architectures.
  • Strong understanding of data systems (streaming, indexing, caching, ETL).
  • Demonstrated experience designing for scalability, fault tolerance, and performance.
Preferred Qualifications
  • Experience building RAG systems or embedding-based search.
  • Familiarity with vector databases and text/signal retrieval systems.
  • Experience developing or deploying agentic AI systems (LLM-based automation, AI observability).
  • Strong distributed-systems background (consensus, message buses, job orchestration, eventual consistency).
  • Experience designing data schemas and APIs for knowledge representation and operational reasoning.
  • Familiarity with Chat Ops frameworks or workflow orchestration (Temporal, Argo, Airflow).
  • Background in MLOps, AI infrastructure, or platform reliability engineering.
  • Experience with observability frameworks (Prometheus, Grafana, Open Telemetry) and using telemetry for automated reasoning or remediation.
Why Core Weave

At Core Weave, we work hard, have fun, and move fast. You’ll join a team that values curiosity, ownership, and creative problem-solving. As part of Production Engineering, you’ll operate at the intersection of AI and reliability — building systems that make operating the most powerful AI cloud in the world smarter every day.

Core Values
  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client…
Position Requirements
10+ Years work experience
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