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Popular lead title, broad skillset, metro hiring and known employer create strong applicant competition.
Medium because engineering leadership and fullstack skills transfer, though F&B and GDPR specifics add domain bias.
High due to required leadership, architecture ownership, pervasive AI use, cloud and fullstack technical mandates.
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Hands-on engineering ownership: coding, code reviews, architecture, technical standards, and tackling technical debt in a multi-product stream.
Lead and develop up to eight engineers, managing performance, growth, hiring, and embedding AI tooling and engineering discipline.
Drive consistent delivery and process excellence: sprint management, incident handling, cross-team coordination, balancing feature delivery with technical investment.
Proven experience leading software engineering teams, managing both technical and people responsibilities.
Strong commercial software engineering background with production software delivery, familiar with CI/CD, automated testing, and clean code standards.
Experience across full stack or backend/frontend, including SQL, RESTful APIs or event-driven architecture, containerization (Docker/Kubernetes) and architectural decision-making.
Work Experience Required: Not explicitly mentioned in the JD
Demonstrates leadership by managing both engineering delivery and people development across distributed teams.
Pervasive AI tooling user and promoter, able to embed AI into engineering workflows and team standards.
Experienced in agile delivery, incident management, and balancing competing priorities with technical quality and team wellbeing.