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Well-known employer, lead-level generalist role, metro hiring and broad skillset increase applicant competition.
Core engineering leadership and full-stack skills are broadly transferable across industries.
Mandatory leadership, hands-on coding, architecture ownership and enforced AI tooling raise hiring strictness.
Split responsibility between hands-on coding (50%) and leading engineering streams (50%) including architecture, process, and people management.
Own technical direction, code quality standards, AI tooling adoption, and delivery performance for up to eight engineers across up to two streams.
Manage engineering process, sprint ceremonies, recruitment, performance cycles, and incident handling ensuring reliable, secure, and predictable software delivery.
Work Experience Required: Proven experience leading software engineering teams with hands-on coding and architectural decision-making.
Strong software engineering background with expertise in Java, TypeScript/React, SQL, cloud databases (Azure/AWS), RESTful APIs, containerization (Docker/Kubernetes).
Demonstrated AI tooling adoption in development workflows and leadership in embedding AI in engineering practices.
No explicit notice period mentioned in the JD.
Experienced engineering leader capable of balancing coding and people leadership responsibilities within distributed teams (UK and India).
Technical strategist who actively drives AI integration to improve development speed, quality, and feedback loops.
Operator skilled at maintaining engineering quality bars while managing delivery, technical debt, and cross-team dependencies in a fast-paced environment.