Remote Lead Engineer, Merch Tech & AI Innovation

Foot Locker, Inc.

United States

On-site

USD 125,000 - 160,000

Full time

8 days ago

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Benefits offered by this job

Employee Discount

Paid Time Off

Medical | Dental | Vision Coverage

401(k) | Roth 401(k)

Stock Purchase Plan

Life Insurance

Flexible Spending Account

Opportunities for Advancement

Tuition Reimbursement for Qualified C…

Strong Company Culture

Employee Resource Groups

Job summary

Foot Locker, Inc. is seeking a highly capable Lead Engineer to drive delivery and technical execution across global merchandising technology platforms. You will lead engineering efforts, guide solution implementation, and ensure high-quality delivery across merchandising domains.

The role spans legacy and modern platforms, modernization efforts, and data/AI-driven optimization. It operates in a distributed delivery model with onshore and offshore teams, focusing on scalable, cloud-based

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field.
7–10+ years of experience building and supporting enterprise applications.
Strong experience with modern application development (APIs, microservices, cloud platforms).
Experience working across legacy and modern systems, including modernization efforts.
Experience designing or implementing AI/ML-enabled solutions in enterprise systems preferred.
Experience leading engineering teams or technical initiatives.
Strong understanding of integration patterns and distributed systems.
Experience working in global, distributed teams including offshore models.
Strong problem-solving, communication, and leadership skills.

Responsibilities

Lead design, development, and implementation of solutions aligned with business and architectural standards.
Own delivery of features, enhancements, integrations, and defect resolution across platforms.
Drive adoption of modern engineering practices including API-first, event-driven, and cloud-native approaches.
Lead implementation of intelligent and data-driven solutions, including integration of AI/ML capabilities into applications and workflows.
Evaluate and apply tools such as Copilot and other AI-assisted development technologies to improve engineering productivity and quality.
Ensure solutions meet requirements for performance, scalability, and reliability.
Lead engineering across merchandising capabilities (planning, pricing, inventory, etc.).
Support modernization efforts and enable AI-driven capabilities across systems.
Collaborate with product, business, and data teams to align on requirements and delivery.