Software Engineering Manager

Description :

Requirements :

- 12+ years of overall software engineering experience with progressively increasing responsibility

- 3+ years in an engineering management or team lead role managing a team of 5+ engineers

- 5+ years of hands-on experience in backend application development using Java, Spring Boot, or Spring Batch, or in database-driven enterprise platform engineering

- 2+ years of experience working with MDM, PIM, or data syndication platforms in a delivery or oversight capacity

Duties & Responsibilities :

- Lead and develop a team of engineers across item management, content syndication, and product cost domains
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providing coaching, code reviews, performance feedback, and career growth guidance.

- Own end-to-end delivery across the STIBO STEP MDM/PIM platform, content syndication pipelines, and product cost applications
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managing sprint planning, backlog prioritization, and stakeholder commitments.

- Partner with architects and senior engineers to ensure sound technical decisions across database-heavy backend systems, event-driven integrations, and MDM platform workflows.

- Drive reliability and operational excellence across owned platforms by establishing SLAs, monitoring system health, and leading incident response and root cause resolution.

- Collaborate with Merchandising, Category Management, and Cost Analysis business teams to translate requirements into well-scoped engineering plans with clear timelines and delivery outcomes.

- Coordinate with US-based engineering leadership on roadmap priorities, cross-team dependencies, and resource planning to ensure aligned and predictable delivery.

- Remove blockers, manage risks, and maintain delivery momentum across concurrent workstreams
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escalating appropriately and communicating status transparently to the Associate Director.

- Foster a culture of engineering quality by promoting CI/CD adoption, automated testing, code review standards, and continuous improvement practices across the team.

- Establish an AI-native development culture
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ensuring the team leverages AI-assisted tools (GitHub Copilot, AI-driven testing, code analysis) as standard practice to amplify productivity and delivery quality.