You'll define and ship AI-assisted workflows, self-service diagnostics, and platform integrations that reduce time-to-resolution and improve customer experience across our cloud.

Key responsibilities include:

• 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 prioritise roadmap initiatives, land adoption, and measure business impact.

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

Minimum qualifications include:

• 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 qualifications include:

• 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.

The base salary range for this role is $139,000 to $204,000. 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).

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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