Senior Software Engineer, Global Converse

Nike•Boston, MA
•$107,700 - $212,600•Onsite

About The Position

The Senior Supply Chain Systems Engineer, Global Converse is a Boston-based employee role responsible for designing, developing, integrating, and supporting technology solutions across Order Management, Warehouse Management, Fulfillment, and Logistics ecosystems. The position combines hands-on Java engineering, supply chain domain expertise, systems integration, and technical delivery leadership. The engineer partners with business, operations, digital, enterprise technology, and external partners to translate complex requirements into secure, scalable, resilient solutions. The role supports strategic transformation initiatives and critical operational platforms, including Converse’s AI-native order management capabilities, Manhattan WMS, SAP AFS/ERP, Multi-Channel Fulfillment, and related supply chain integrations and automation. The Supply Chain Technology Team enables systems and integrations supporting Converse’s end-to-end supply chain and is modernizing its technology foundation while strengthening internal engineering ownership across business-critical platforms.

Requirements

  • Strong hands-on Java software engineering experience delivering and operating enterprise applications in production.
  • Deep understanding of supply chain processes, including OMS, WMS, inventory, fulfillment, logistics, and order lifecycle management.
  • Experience designing APIs, microservices, event-driven architectures, integration patterns, and real-time or near-real-time data flows.
  • Ability to connect operational requirements with scalable technical designs and communicate assumptions, dependencies, risks, and tradeoffs.
  • Experience leading technical analysis, design, development, testing, deployment, and production support across complex initiatives.
  • Strong program execution skills, including workstream planning, dependency management, risk management, and coordination with external partners.
  • Experience working directly with business and operations teams in a dynamic, high-priority delivery environment.
  • Working knowledge of cloud platforms, containerized applications, modern integration frameworks, automation, observability, and production support practices.
  • Excellent problem-solving, communication, stakeholder management, and influencing skills.
  • Ability to manage multiple priorities, operate through ambiguity, and maintain accountability for high-quality delivery.
  • 7+ years of software engineering, enterprise application development, systems integration, or related technology delivery experience; 10+ years preferred for candidates with broad enterprise solution leadership experience.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; a suitable combination of education, experience, and training is also accepted.
  • Advanced hands-on Java development experience, including enterprise application design, testing, deployment, and production support.
  • Experience with APIs, microservices, event-driven architectures, integration platforms, data mapping, and transformation.
  • Experience with order management, warehouse management, fulfillment, logistics, inventory, or related retail supply chain technologies.
  • Experience owning complex technical work from problem framing and solution design through deployment, operational adoption, and continuous improvement.
  • Experience partnering cross-functionally with product, business, operations, architecture, security, infrastructure, engineering, and external technology partners.

Nice To Haves

  • Retail, footwear, apparel, consumer products, or omnichannel commerce experience.
  • Experience supporting large-scale supply chain transformation initiatives and business-critical operational platforms.
  • Familiarity with cloud services, container orchestration, CI/CD, observability, modern integration frameworks, and automation technologies.
  • Exposure to Generative AI, AI-assisted engineering, agentic workflows, or intelligent automation.
  • 10+ years of experience for candidates with broad enterprise solution leadership experience.

Responsibilities

  • Collaborate with business, operations, digital, and technology partners to translate complex supply chain requirements into scalable technology solutions.
  • Design, develop, test, deploy, and support capabilities spanning order orchestration, inventory management, warehouse operations, fulfillment, shipping, returns, and logistics execution.
  • Provide hands-on engineering and technical leadership across order management capabilities, Manhattan WMS, SAP AFS/ERP, Multi-Channel Fulfillment, and supporting integrations.
  • Develop and maintain enterprise applications using Java and modern engineering frameworks, with a focus on clean, reusable, testable, and supportable code.
  • Design APIs, microservices, event-driven integrations, and real-time data flows across OMS, WMS, ERP, and external partner ecosystems.
  • Lead technical analysis, solution design, data mapping, system interoperability, testing strategy, deployment planning, and production-readiness activities.
  • Analyze and optimize the order lifecycle, inventory flows, omnichannel routing, warehouse processes, fulfillment execution, and inventory visibility.
  • Ensure solutions are secure, scalable, resilient, observable, and aligned with enterprise architecture and engineering standards.
  • Lead technical workstreams and coordinate delivery across engineering teams, business stakeholders, vendors, and external partners, including timelines, dependencies, risks, and decisions.
  • Facilitate requirements workshops, design reviews, testing activities, incident reviews, and deployment planning across multiple concurrent initiatives.
  • Troubleshoot complex production issues, lead root-cause analysis, and drive permanent corrective and preventive actions for business-critical systems.
  • Communicate technical recommendations, delivery status, risks, and tradeoffs clearly to engineering, business, and leadership audiences.
  • Support operational enhancements and strategic supply chain transformation programs across North America and global markets.
  • Identify and responsibly apply automation and AI-enabled engineering approaches that improve delivery speed, platform reliability, and operational decision support.
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