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Lead AI Software Engineer
Vodafone (VOIS)
London, GBR
Full-time
Senior
Hybrid
Discovered 2 weeks ago
JavaSpring BootReactAngularRESTful APIsmicroservices
Free
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JavaSpring BootReact
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JavaSpring BootReactAngularRESTful APIsmicroservices
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What you will do
- Lead build execution within a squad, platform capability, or engineering domain.
- Translate specifications, designs, and architectural intent into clear implementation plans and verifiable engineering tasks.
- Decompose solution designs into small, sequenced, testable delivery increments.
- Guide engineers and AI coding agents through implementation, validation, and release activities.
- Deliver and oversee complex, high-risk, or business-critical software components.
- Review AI-generated and engineer-written code to ensure correctness, maintainability, security, and alignment with specifications.
- Drive engineering excellence through automated testing, contract testing, regression testing, observability, and production verification.
- Support CI/CD processes, deployment readiness, operational handover, runbooks, and service ownership.
- Ensure AI-generated outputs are explainable, traceable, secure, and compliant with engineering standards.
- Escalate architectural ambiguity, cross-domain risks, and decisions beyond agreed engineering guardrails.
- Identify recurring engineering or AI-agent delivery issues and transform them into improved controls, guidance, and quality practices.
- Coach engineers on AI-native software engineering, implementation planning, code review, testing practices, and responsible AI usage.
- Contribute to the evolution of AI-native Software Development Life Cycle practices, developer experience, automation, and engineering productivity.
What skills you will learn
- Advanced AI-native engineering and AI-agent orchestration techniques.
- Large-scale cloud-native software architecture and distributed systems practices.
- Modern software delivery frameworks, automation strategies, and developer productivity improvements.
- Advanced observability, operational readiness, and production engineering capabilities.
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