Platform Technical Lead (Cloud Infrastructure & AI Enablement)

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture

About the Role

Location: Paddigton or Newbury (Hybrid) 

What you’ll do

• Define and evolve the cloud platform, developer platform and AI enablement strategy supporting engineering teams across the organisation.
• Lead engineering teams responsible for cloud infrastructure, platform engineering, developer experience and AI enablement capabilities.
• Establish cloud-native engineering standards, platform guardrails and reusable engineering capabilities.
• Drive adoption of platform engineering practices, self-service developer platforms and infrastructure automation.
• Define the strategy and governance model for AI engineering tooling, AI-native software delivery and responsible use of AI-generated artefacts.
• Lead evaluation, adoption and operationalisation of AI engineering technologies including coding assistants, agent frameworks, evaluation platforms and engineering automation tooling.
• Own engineering platform capabilities including CI/CD, deployment automation, observability, secrets management, platform security and self-service engineering tooling.
• Drive improvements in developer productivity, engineering effectiveness and delivery throughput through platform automation and AI enablement capabilities.
• Ensure platform services remain secure, scalable, resilient, cost-efficient and operationally robust.
• Define platform reliability, availability, security and operational excellence objectives.
• Lead cloud platform evolution including multi-tenancy, multi-region deployment, scalability, resilience and platform governance.
• Influence platform, cloud and engineering technology investment decisions.
• Build engineering capability through coaching, talent development and succession planning. 

Who you are

• Cloud Platform Leadership - Deep understanding of cloud-native platforms, infrastructure strategy and large-scale platform operations.
• Platform Engineering - Expertise in developer platforms, self-service engineering capabilities, automation and platform enablement.
• AI Enablement - Strong understanding of AI-native software delivery, AI engineering tooling, agent frameworks and AI platform capabilities.
• Engineering Automation - Experience building CI/CD platforms, deployment automation, testing platforms and developer productivity tooling.
• Platform Security & Governance - Knowledge of secure platform design, governance controls, compliance and operational resilience.
• Developer Experience - Proven ability to improve developer productivity and reduce friction throughout the software delivery lifecycle.
• Systems Thinking - Ability to design reusable organisation-wide platform capabilities that solve recurring engineering challenges.
• People Leadership - Proven experience leading platform engineering, cloud engineering and infrastructure teams

Must have technical/professional qualifications:

• 10+ years software engineering, infrastructure engineering or platform engineering experience.
• 5+ years leading cloud infrastructure, platform engineering or engineering enablement teams.
• Experience defining cloud platform strategy and operating models.
• Experience with Kubernetes, container platforms and cloud-native architectures.
• Strong knowledge of Infrastructure as Code and platform automation.
• Experience leading adoption of AI engineering tooling and AI-native software delivery approaches.
• Good understanding of LLM platforms, agents, evaluation frameworks and AI governance practices.
• Experience with observability, DevOps, CI/CD and engineering productivity platforms.
• Experience managing multi-region, multi-tenant and large-scale cloud platforms.