Team Lead, Platform Engineering

Volta·London, UKlead

In short

→Liderazgo técnico de un equipo de ingeniería de plataforma en infraestructura de IA a gran escala.
→Trabajas con Kubernetes, GPU, redes y control planes en entornos multirregionales, con fuerte enfoque en confiabilidad y seguridad.
→Destaca ser un rol hands-on con responsabilidad directa sobre código, arquitectura y equipo, no solo gestión administrativa.

Clear communicator who can translate technical complexity for product and leadership stake

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What they ask for

✓5+ años en ingeniería de plataformas o infraestructura en la nube
✓2+ años liderando equipos de ingeniería
✓Experiencia sólida en Kubernetes en producción
✓Conocimiento profundo en infraestructura GPU y asignación de recursos
✓Habilidades en arquitectura de servicios y APIs de control plane
✓Capacidad demostrada de liderar, gestionar y desarrollar equipos

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PythonGoRustKubernetesCNIGPUNetworkingL2/L3VLANsOverlay networks

Who should you write to at Volta?

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About Volta Volta is the category-defining, fully vertically integrated AI infrastructure platform – from capital to clusters to software, under a founder-led enterprise. Our mission is The Utility of Compute™: AI infrastructure as dependable and available as electricity, for every organization that needs it. Launched with a $10B strategic partnership with one of the leading frontier AI labs, a Series A led by Andreessen Horowitz, and a $5B AI Infrastructure Fund, Volta is building the infrastructure layer of the AI era from the ground up. We are 100+ people across London, Palo Alto, and New York, with rapid growth expectations to hundreds. About The Role Volta builds and operates large scale GPU compute infrastructure for AI workloads. Our platform is Kubernetes-native, spans multiple regions, and delivers virtual machines, storage, and networking through a fully automated infrastructure stack. Platform Engineering is organized as capability teams, each owning a defined part of the stack: compute, storage, the control plane and API layer, confidential computing, networking, and the customer-facing surface. You will lead one of them. This is a hands-on leadership role. You set technical direction for your team's area, carry accountability for what it delivers, and manage the people doing the work. You are expected to stay close enough to the code to take on the hard problems yourself. What You Will Be Doing Lead a platform engineering team: technical direction, design reviews, code review, and day-to-day delivery. Set the technical direction for your team's area of the stack, and design and build the platform layers it owns as product requirements take shape. Represent platform engineering in roadmap planning: translate product requirements into scoped, sequenced technical work, communicate trade-offs, and keep delivery on track. Work closely with the bring-up teams to surface operational pain points and turn them into scalable platform features. Collaborate with the security engineering team to integrate security guidance at the platform layer and ensure findings are remediated effectively. Coordinate with the other platform engineering leads on shared architecture, joint initiatives, and cross-team and cross-timezone delivery. Own reliability, observability, security, and interface and versioning standards for the services your team ships. Stay hands-on: take on complex or high-risk engineering work directly alongside the team. Run post-mortems and close structural gaps after incidents, not just the immediate issue. Manage the team: 1:1s, performance conversations, hiring interviews, and onboarding. What You Bring 5+ years in cloud platform or infrastructure engineering, with at least 2 years leading an engineering team. Strong backend or systems programming background in a production environment. Our working languages are Python, Go, and Rust; we welcome strong engineers from other compiled or object-oriented languages (for example C++, C#, or Java) who are ready to work across our stack as it evolves. Kubernetes at depth: cluster operations, CNI networking, scheduling, and workload management in production. GPU infrastructure experience: provisioning, resource allocation, and surfacing capacity through a platform or API layer. Solid networking fundamentals: L2/L3, VLANs, overlay networks, and multi-tenant isolation in cloud environments. Service architecture skills: designing, operating, and versioning production-grade control-plane services and APIs across IaaS and above, holding the team to clean, industry-standard interface and breaking-change practices. Security awareness: trust boundaries, least privilege, and secure defaults when building platform services. Proven people management: running 1:1s, delivering performance feedback, and taking accountability for a team's delivery and wellbeing. Clear communicator who can translate technical complexity for product and leadership stakeholders.

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