Engineering Manager (Launch & Sandboxes)

CoreWeave

Livingston

Presencial

GBP 95.000 - 140.000

Jornada completa

Hace 7 días
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Descripción de la vacante

CoreWeave is seeking an Engineering Manager for the Launch & Sandboxes team in Livingston, UK. You’ll oversee development of cloud execution environments and job submission services, guiding architecture decisions around Kubernetes, container isolation, and billing infra.

Lead a team to ship reliably, balance delivery with technical health, and grow engineers into leaders. You’ll work closely with product management and ensure a customer-focused, AI-forward culture across the squad.

Formación

  • 5+ years software engineering experience before management.
  • Track record growing engineers across levels.
  • Experience balancing product delivery with technical health.
  • Strong communication with engineering and non-engineering stakeholders.
  • Fluency in Go, Python, and Kubernetes.
  • 3+ years engineering management experience shipping infrastructure.
  • Experience with distributed systems in production.
  • Founding or early-stage background is a plus.
  • Familiarity with HPC or scientific computing environments is valued.
  • Experience with billing/meters/usage-based pricing infrastructure.

Responsabilidades

  • Lead Launch & Sandboxes engineering team end-to-end.
  • Collaborate with product management to prioritize work.
  • Drive architecture discussions on container orchestration and auth.
  • Ensure reliability and manage tech debt across systems.
  • Grow engineers into autonomous leaders and decision-makers.
  • Engage with customers to understand needs and feedback.

Conocimientos

Go
Python
Kubernetes
Distributed systems
Technical leadership
Architectural reviews
Cross-functional collaboration
Roadmap planning
Mentoring engineers
On-call reliability

Herramientas

Kubernetes
CI/CD
Terraform
Monitoring/Observability

Descripción del empleo

  • You’ll join CoreWeave’s IaaS organization as the Engineering Manager for the Launch & Sandboxes team
  • The team owns two connected areas: Sandboxes, cloud execution environments that let practitioners run code in isolated, GPU-enabled containers, and Launch, the services and integrations that support job submission, compute orchestration, and HPC schedulers
  • You’ll lead the engineering work that connects developer workflows to the compute where AI workloads run. The systems span Kubernetes clusters, HPC nodes, and cloud virtual machines, and are designed to make it easier for customers to launch, manage, and scale workloads across CoreWeave’s infrastructure
  • As the Engineering Manager for Launch & Sandboxes, you’ll be involved in the full product lifecycle, from ideation and roadmap shaping through delivery and being available for customers
  • Your day-to-day will involve partnering with product management to prioritize across competing initiatives, unblocking your engineers on cross-team dependencies, and ensuring the team ships reliably while managing technical debt
  • You’ll need to be technically fluent enough to participate in architecture discussions around container orchestration, distributed authentication, and billing infrastructure, and you’re not afraid to get your hands dirty when the team needs it
  • At the same time, your primary focus is growing your engineers into autonomous leaders and technical decision-makers. We’re an AI-forward organization that embraces LLM-based coding tools and agentic workflows to accelerate development, and we’d expect you to champion that culture within your team
  • This role carries a heavy customer and user focus: you’ll stay close to how ML practitioners use the product and make sure that perspective drives your team’s priorities
  • Like any role at a hyperscaler, this comes with high accountability and ownership. You’ll own your team’s outcomes end-to-end, from roadmap commitments through production reliability. We expect engineering managers to make hard prioritization calls, hold the bar on engineering quality, and build teams that operate with autonomy and urgency

5+ years of software engineering experience prior to management, with backend systems depthTrack record of growing engineers across levelsDemonstrated ability to balance product delivery with technical health (managing tech debt, reliability, on-call)Comfortable operating in ambiguity, especially in newer product areas where scope is still being definedStrong communication skills with both engineering and non-engineering stakeholdersTechnical fluency in Go, Python, and Kubernetes (you won’t write code daily, but you need to review PRs, unblock architectural decisions, and understand production incidents)Experience partnering with product managers to shape and prioritize a roadmap3+ years of engineering management experience, with a track record of shipping infrastructure or platform productsExperience managing teams that own distributed systems in productionFounding experience or early-stage background where you took a product from idea to the hands of usersExperience managing teams through a product area transition (e.g., early-stage to growth, or post-acquisition integration)We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talkBackground in HPC or scientific computing environmentsFamiliarity with compute orchestration, job scheduling, or container isolation technologiesExperience with ML infrastructure, ML platforms, or developer tools for data scientistsYou’re energized by building a team around a product area that is still finding its shape, not just maintaining something matureYou’ve managed through organizational complexity before and you’re comfortable navigating cross-team dependencies and shifting prioritiesExperience with billing systems, metering, or usage-based pricing infrastructureYou care about developer experience and understand that infrastructure teams succeed when their users actually love the tools

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