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Volta - Platform Engineer

London, Greater London, United Kingdom£120k - £160k+ Equity2d ago

In Office Mid EMEA Materials Platform Engineer Controller Go Rust Python Kubernetes Linux Close Prometheus Grafana

Requirements

• 3–5 years of software engineering experience, with a meaningful portion spent on infrastructure or platform systems • Working proficiency in at least one relevant language — Python, Go, or Rust — with experience writing production-grade backend services or automation, and a willingness to work across languages as the codebase evolves • Solid understanding of Kubernetes internals: the control loop model, CRDs, controllers/operators, and reliable reconciliation logic • Comfortable working close to the infrastructure layer — Linux, networking fundamentals, and distributed systems behaviour • Experience designing and building APIs or service interfaces that other teams depend on • Strong engineering fundamentals: clean code, testing, version control, code review, and CI/CD practices • Fluency with AI-assisted development, and interest in scaling agent-assisted workflows across the team (agentic CLI tools, MCP, skills, APIs) to amplify delivery. • Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel TDX, or Confidential Containers (CoCo) • Experience integrating security requirements into platform or infrastructure systems • Familiarity with high-performance networking: overlay protocols, BGP, RDMA, or packet-processing frameworks • Hands-on experience with distributed storage systems (Ceph or similar) at an engineering level • Background building Kubernetes operators using frameworks such as Kopf, controller-runtime, or similar • Experience with observability tooling: Prometheus, Grafana, OpenTelemetry, or structured logging in distributed systems • Exposure to GPU infrastructure or HPC environments

Responsibilities

• Design and implement Kubernetes operators and controllers that manage the lifecycle of compute, storage, and networking resources • Work closely with the product team to understand roadmap requirements and implement the platform capabilities that support them • Collaborate with the bring-up team to identify operational pain points and turn them into scalable platform features • Improve and extend the northbound API layer — the interface between user-facing services and the underlying infrastructure platform • Build and extend confidential computing capabilities across the platform stack — from secure bare metal and confidential VMs to Confidential Containers (CoCo) • Integrate security guidance from the security engineering team into platform-level controls and remediate security findings at the platform layer • Build platform capabilities around networking: reliability, performance, and observability of the overlay and underlay network stack • Contribute to storage platform improvements: provisioning workflows, attachment reliability, performance tuning, and failure handling • Own observability as a platform concern — instrument services, define meaningful metrics, and build tooling that gives the team visibility into platform health • Participate in code review, technical design discussions, and cross-team collaboration in an Agile (Kanban or Scrum) environment

Benefits

• United Kingdom £120K – £160K • Offers Equity • The posted range reflects the typical compensation for this role. Actual compensation is based on market rate, factoring in qualifications, experience, location, and the value you bring - while ensuring fairness and consistency across our organisation. Eligible employees also receive a total rewards package, including a discretionary bonus, equity awards, and comprehensive benefits. • 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 built on custom Kubernetes operators. • Platform Engineers work at the intersection of infrastructure and software development. You will translate three key inputs into durable platform capabilities: product roadmap requirements from the product team, operational learnings from the bring-up team, and security guidance from the security engineering team.