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CoreWeave · 3 days ago

Production Engineer, Support tooling (Tooling and Frameworks)

New York, NY

Full-time

Hybrid

Mid Level

$139K/yr - $204K/yr

4+ years exp

CoreWeave is The Essential Cloud for AI™, providing a platform for innovators to build and scale AI solutions. The Production Engineer will work closely with Support/CX teams to develop and maintain internal tooling that enhances customer experience and operational efficiency.

Artificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning

No H1B

U.S. Citizen Only

Responsibilities

Design, build, and own support-facing tools for case triage, intelligent routing, and expert engagement, integrating with incident and change management workflows

Develop AI-powered assistants and automations that accelerate root-cause discovery, knowledge retrieval, and resolution quality

Create and maintain dashboards, alerts, and signals that surface tooling issues early; integrate observability into new tooling to reduce MTTR

Build self-service and guided diagnostics that empower Support/CX to resolve common issues and collect high-quality context for escalations

Codify reliability and support practices into services, APIs, and Kubernetes-native controllers/operators where appropriate

Partner with engineering leadership and internal stakeholders to prioritize roadmap initiatives, land adoption, and measure business impact

Participate in an on-call rotation for the tooling you own

Qualification

GoPythonKubernetesLinuxIncident managementObservabilityAI/ML toolingAutomationCollaboration

Required

4+ years of software or infrastructure engineering experience building and operating production services

Proficiency in Go or Python (or equivalent experience)

Strong fundamentals in Linux, containers, and Kubernetes; comfortable debugging in distributed systems

Experience with observability (metrics/logs/traces) and using data to improve reliability and support outcomes

Demonstrated experience with incident management and steady‑state operational excellence (e.g., progressive delivery, testing strategies, error budgets, fault‑tolerant design)

Comfort collaborating with multiple stakeholders (Support/CX, Product, SRE, and service owners)

Preferred

Experience integrating or building support/operations tooling (e.g., ticketing/incident systems, status page, knowledge management, chat/alerting integrations)

Experience automating manual workflows and stitching together productivity platforms

Familiarity with AI/ML tooling for retrieval, summarization, or copilot‑style assistance

Experience codifying operational practices into Kubernetes controllers, operators, or platform services