Engineering Manager - Cloud & SRE

About the role

Lead and grow a cloud/SRE engineering team while owning delivery and reliability outcomes. Shape platform strategy and partner across the organization to drive infrastructure excellence and AI platform adoption.

What you'll do

• Hire, coach, and develop cloud/SRE engineers - run meaningful 1:1s, set development goals, and actively manage performance
• Build a high-performance team culture rooted in psychological safety, ownership, and continuous improvement
• Champion AI adoption within the team - encourage AI-assisted workflows and continuously raise the bar on how AI is used to improve productivity
• Own the team's outcomes against OKRs - prioritise effectively, track progress with metrics, and delegate without micromanaging
• Ensure rigorous deployment pipelines, production readiness, and incident management practices
• Partner with Technical Leadership and Architecture to align infrastructure work with the technology strategy
• Support AI/ML platform needs - including agent observability, AI workload infrastructure, and AI development lifecycle tooling
• Bridge your team and its stakeholders: Product Engineering, AI Engineering, Security, Data, and Architecture

What you'll need

• 3+ years leading an engineering team (hiring, coaching, performance management, career development)
• Strong technical background in cloud infrastructure - you can guide architectural decisions and hold a high quality bar
• Experience with at least one major cloud provider (GCP preferred; AWS or Azure transferable)
• Familiarity with Kubernetes in production, CI/CD pipelines, and Infrastructure as Code (Terraform or similar)
• Active user of AI-assisted development tools (Claude, Copilot, Cursor, or similar)
• Exposure to AI/ML supporting infrastructure such as agent observability, model serving, AI development lifecycle, or ML pipeline operations
• Track record of driving team outcomes using metrics, OKRs, or KPIs
• Effective communicator across engineering, product, and leadership audiences

Nice to have

• Experience with platform consolidation, multi-cloud environments, or infrastructure migrations
• SRE practices: SLOs, incident management, on-call, observability
• GCP Landing Zones, GitOps (ArgoCD/Kargo), or service mesh
• Cloud cost optimization experience
• Experience supporting AI/ML workloads at scale (GPU scheduling, model deployment infrastructure, vector databases)
• Background managing platform/infrastructure teams specifically

What they offer

• Employee stock options for all employees
• 30 annual vacation days and flexible working hours
• Work from abroad for up to six weeks every year
• Monthly allowance for extensive range of services
• Free mental health coaching sessions and yoga
• Free tax declaration filing through the Taxfix app