Staff Platform Engineer

In this role, you lead the AI-native Internal Developer Platform, enabling engineering and product teams to build, deploy, and run software at scale. You shape the platform roadmap, deliver self-service capabilities, and promote governance, security, and reliability. You’ll drive AI-assisted workflows to boost productivity and reduce operational complexity, partnering with cross-functional squads to deliver scalable, observable systems. This is a venture to scale a modern platform that supports innovation across Vodafone Group and partners.

• collaborative environment
• exposure to cutting-edge technologies
• professional growth and mentoring
• influence engineering practices across teams
• cross-functional collaboration
• strategic technical contributions

• Define and evolve the platform roadmap as a product with adoption and performance targets
• Design and deliver self-service capabilities, reusable golden paths, and standard service templates
• Provide technical direction across compute, Kubernetes, networking, secrets, observability, CI/CD, and infrastructure as code
• Enable AI-assisted engineering workflows to improve productivity and decision-making
• Embed policy-as-code with governance, security, and compliance controls
• Improve reliability with SLOs, observability, resilience engineering, and incident-driven improvements
• Collaborate with product, engineering, security, and architecture teams to translate needs into scalable platform solutions
• Advance engineering excellence through automation, standardisation, and FinOps awareness
• Mentor engineers, review designs, and share knowledge through documentation and coaching

• Experience designing and operating internal developer platforms, cloud-native systems, or distributed architectures
• Ability to identify high-impact technical challenges aligned to platform strategy
• Strong tech skills across cloud platforms, Kubernetes, IaC, CI/CD, observability, networking, and security
• Proficiency in Python, Go, or Java with experience building platform tools or APIs
• Knowledge of AI-assisted engineering approaches and automation
• Capability to define and improve technical quality at scale and reduce risk
• Understanding of platform-as-a-product principles and adoption metrics
• Experience defining SLOs, monitoring, alerts, and incident management
• Influence across teams, mentor colleagues, and translate vision into outcomes
• Comfort with ambiguity, trade-offs, and complex decision-making
• Commitment to inclusive, high-quality technical environments

• Influencing across teams
• Mentoring and coaching
• Collaboration with cross-functional groups
• Cloud platforms
• Kubernetes
• Infrastructure as code