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Key skills for this role
Lead, mentor, and develop a high-performing team of Java, middleware, data, integration, and AI engineers.
Foster a culture of ownership, innovation, continuous learning, and engineering excellence.
Drive adoption of modern engineering practices and establish technical standards across the organization.
Partner with Product Owners and business stakeholders to prioritize work, shape solutions, provide estimation and architectural guidance, influence product roadmaps, and ensure delivery aligns with business objectives.
Own engineering delivery across the software lifecycle, balancing quality, scalability, technical debt, and operational readiness.
Collaborate closely with stakeholders to influence product and technology decisions and drive successful business outcomes.
Champion an AI-first approach to software development, problem solving, and operational efficiency.
Drive adoption of AI-enabled SDLC practices including specification-driven development, iterative development, agent-assisted engineering workflows, evaluation frameworks, automated testing, deployment automation, and continuous improvement.
Identify opportunities to improve developer productivity, accelerate delivery, and optimize operating costs through automation and AI-driven workflows.
Define and evolve engineering and SDLC strategies, leveraging enterprise platforms and AI-enabled delivery practices.
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Collaborate effectively with Product, Architecture, Security, Infrastructure, Data, and Business teams across global regions.
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Establish strong stakeholder relationships and communicate effectively across technical and non-technical audiences.
Strong foundation in software engineering, distributed systems, system architecture, networking, cloud platforms, and modern application design.
Demonstrated ability to solve complex business and technical challenges using an AI-first mindset.
Experience with AI orchestration, agent-based workflows, Model Context Protocol (MCP), and modern AI engineering practices.
Experience implementing AI-assisted SDLC processes spanning intake management, prioritization, planning, development, testing, deployment, monitoring, and support.
Strong understanding of cloud-native architectures, CI/CD, DevOps tooling, infrastructure automation, observability, and production operations.
Strong understanding of retail business processes and omnichannel commerce ecosystems.
Experience with store systems, POS, payments, promotions, loyalty, inventory, order management, and associate-facing technologies.
Understanding of global retail operations and regional market nuances.
Proven experience leading engineering teams within product, program, and engineering-led organizations.
Strong understanding of Agile frameworks and modern product delivery practices.
Demonstrated ability to influence across cross-functional teams and drive alignment among diverse stakeholders.
You are a hands-on engineering leader who combines deep technical expertise, retail business understanding, and an AI-first mindset to deliver exceptional retail experiences while continuously improving how software is built, deployed, and operated.
Global apparel and denim brand company.
Visit company websiteJobs and hiring trendsFull-time
Senior
Onsite
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