Senior AI Cloud Platform Engineer

Nscale; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Nscale is seeking a Platform Operations & Engineering professional to own and evolve a Kubernetes-based infrastructure for AI workloads. You’ll drive deployment workflows, observability, and automation across production platforms, collaborating with software, infra, and SRE teams to deliver reliable cloud-native capabilities.

You will improve incident prevention, rollout safety, and platform resilience while mentoring junior engineers and shaping best practices for service deployment and runtime

Qualifications

• Strong hands-on experience operating and improving Kubernetes-based platforms in production.
• Solid experience with infrastructure automation, CI/CD, configuration management, or GitOps-style workflows.
• Strong understanding of reliability engineering principles, including observability, incident response, failure analysis, and operational readiness.
• Experience writing production-quality automation, tooling, or backend code in Go, Python, Bash, or similar languages.
• Good Linux fundamentals, including processes, filesystems, cgroups, service behaviour, and system debugging.
• Good networking fundamentals, including TCP/IP, DNS, routing, load balancing, and container or overlay networking concepts.
• Experience debugging complex production issues across multiple system layers.
• Ability to work independently on substantial technical problems while collaborating effectively with adjacent teams.
• Experience mentoring or supporting less experienced engineers through practical technical guidance.

Responsibilities

• Build and improve shared cloud-native platform capabilities used by internal engineering teams to run AI applications and services.
• Own significant parts of the platform area, including Kubernetes cluster operations, workload runtime configuration, deployment workflows, observability foundations, or environment automation.
• Improve the reliability, scalability, and supportability of platform services through practical engineering and operational enhancements.
• Develop automation, tooling, and configuration that reduce manual effort, improve consistency, and make the platform easier to use and operate.
• Apply software engineering where it creates leverage, including scripts, services, CI/CD automation, operational tooling, and platform integrations.
• Improve incident prevention, detection, response, and recovery across the platform areas you support.
• Build and refine observability for platform services, including metrics, logs, tracing, dashboards, alerts, and other useful operational signals.
• Strengthen rollout safety, capacity awareness, failure handling, and recovery procedures for production environments.
• Debug and resolve complex issues spanning Kubernetes, Linux, networking, storage, workload runtime behaviour, and cloud or datacentre infrastructure dependencies.
• Enhance operational playbooks, runbooks, and engineering practices to reduce toil and increase service resilience.
• Contribute to design discussions, code reviews, and operational standards within the platform engineering team.
• Collaborate with software engineering, infrastructure, and SRE teams to deliver platform capabilities that are practical, supportable, and aligned to operational needs.
• Define sensible defaults, paved roads, and supportable patterns for service deployment and runtime operations.
• Mentor less experienced engineers in platform engineering fundamentals, operational judgement, and good automation practices.

Skills

Kubernetes

CI/CD

Go

Python

Bash

Linux

Networking

GitOps

Observability

Incident response

Automation

SRE

Tools

Terraform

Job description

Nscale is seeking a Platform Operations & Engineering professional to own and evolve a Kubernetes-based infrastructure for AI workloads. You’ll drive deployment workflows, observability, and automation across production platforms, collaborating with software, infra, and SRE teams to deliver reliable cloud-native capabilities.

You will improve incident prevention, rollout safety, and platform resilience while mentoring junior engineers and shaping best practices for service deployment and runtime