As a Lead Software Engineer you will report to an Engineering Manager and collaborate closely with a Principal Engineer, Product Manager and cross functional teams along with guiding and mentoring a team of engineers to deliver scalable solutions that meet business objectives.
WHAT YOU’LL WORK ON
As a Lead Software Engineer, you’ll think strategically, act tactically, and collaborate across teams to bring clarity to complex technical challenges. You’ll be a key driver of Nike’s backend engineering efforts, empowering teams to build rock-solid systems and services to manage critical inventory operations for Nike’s omnichannel ecosystem.
As a Lead Software Engineer, you’ll guide technical decisions, architect systems, and inspire teams to deliver world-class backend solutions leveraging Java, Spring Boot, and AWS.
Architect Scalable Solutions: Define technical strategies and design highly scalable backend systems and microservices using Java, Spring Boot, and cloud technologies on Amazon Web Services (AWS).
Technical Leadership in a highly collaborative, multi-discipline development team environment. Guide and mentor engineering teams to deliver high-quality software solutions, advocating for best practices in coding, testing, and continuous delivery.
API Design: Spearhead the design of robust and well-documented RESTful APIs to enable seamless integrations across inventory platforms.
Cloud-Native Deployment: Oversee deployment of services on AWS, ensuring optimal use of cloud resources (e.g., Lambda, ECS, DynamoDB, RDS, CloudFormation).
Performance Optimization: Continuously evaluate system performance, identify bottlenecks, and implement improvements to support large-scale inventory operations.
Cross-Team Collaboration: Partner with Product Managers, Architects, and other Engineering leaders to define technical roadmaps, prioritize deliverables, and align with business goals.
Security and Reliability: Ensure solutions adhere to industry best practices for security, availability, and reliability, while adapting to evolving business needs.
Observability and Monitoring: Design, implement, and operate end‑to‑end observability solutions (metrics, logs, and distributed tracing) using platforms such as Splunk, SignalFx, and Grafana to ensure system health and performance.
Continuous Improvement: Stay ahead of emerging technologies, advocate modernization, and foster an environment of learning and growth within the team.
AI Adoption: Lead AI and intelligent automation initiatives by identifying high‑impact use cases, shaping adoption strategy, evaluating feasibility, and guiding teams in delivering AI capabilities at scale.
Education & Experience: bachelor’s or master’s degree in computer science, Software Engineering, or equivalent.
7 to 10 years of professional experience delivering backend software solutions.
At least 2+ years of experience in a technical leadership role; overseeing engineering teams and driving technical decisions.
Technical Expertise: Deep expertise in Java, Spring Boot, backend systems architecture, HLD and LLD.
Proven track record deploying and maintaining applications on AWS, with strong familiarity in services like Lambda, EC2, ECS, DynamoDB, RDS, API Gateway, and CloudFormation.
Extensive experience building RESTful APIs and designing scalable microservices.
Strong command over CI/CD practices, containerization (Docker/Kubernetes), and DevOps tools (e.g., Jenkins, GitHub Actions).
Understanding of distributed systems, event-driven architecture and messaging platforms (Kafka, RabbitMQ, or similar).
Exposure to Supply Chain domain areas like inventory management, order management, logistics management, warehouse management.
Exposure towards Co-pilot or Cursor development is an advantage.
LEADERSHIP SKILLS
Technical Leadership in a highly collaborative, multi-discipline development team environment.
Exceptional ability to mentor and guide junior and mid-level engineers.
Experience leading agile teams, defining technical roadmaps, and maintaining alignment with business stakeholders.
Adept at communicating technical ideas clearly and succinctly to both technical and non-technical audiences.
