Lead AI Software Engineer
Role Overview
Lead software implementation and engineering delivery across squads, platform capabilities, or engineering domains.
Translate specifications, solution designs, and architectural direction into scalable, secure, production-ready software.
Hybrid role based in Newbury or Paddington.
Key Skills for This Role
Full Job Posting
About VOIS
VOIS is Vodafone Group's strategic arm, delivering technology and transformation solutions in partnership with Vodafone markets and other organizations.
About the role
Lead software implementation and engineering delivery across squads, platform capabilities, or engineering domains.
Translate specifications, solution designs, and architectural direction into scalable, secure, production-ready software.
Hybrid role based in Newbury or Paddington.
Responsibilities
- Lead build execution, implementation planning, and delivery of testable increments.
- Guide engineers and AI coding agents through implementation, validation, and releases.
- Deliver and oversee complex, high-risk, or business-critical software components.
- Review code and AI-generated outputs for correctness, maintainability, security, and specification alignment.
- Drive automated, contract, and regression testing, observability, and production verification.
- Support CI/CD, deployment readiness, handover, runbooks, and service ownership.
- Escalate architectural ambiguity and cross-domain risks; improve controls and quality practices.
- Coach engineers and contribute to AI-native SDLC, developer experience, automation, and productivity.
Experience and qualifications
- 7+ years of software engineering experience, including hands-on production-grade delivery.
- Strong Java and Spring Boot expertise, with experience in React or Angular.
- Experience with APIs, microservices, integrations, platform services, and digital applications.
- Understanding of cloud-native architectures, distributed systems, containerised environments, and integration patterns.
- Experience with event-driven solutions using Kafka, RabbitMQ, or equivalent platforms.
- Experience with CI/CD, automated testing, observability, and production support.
- Experience using AI-assisted engineering tools and steering AI coding agents.
- Understanding of responsible AI practices; the provided description is truncated.
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