Lead Software Engineer - Forward Deployed Engineering, ITC
Lead a team building scalable backend systems and microservices for Nike’s demand planning and pricing platforms using Java, Spring Boot, Kafka, and AWS, while mentoring engineers and driving cloud-native architecture.
- Compensation
- Not disclosed
- Location
- Karnataka, India
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Full description
WHO YOU’LL WORK WITH
You will be part of Nike’s Supply Chain and Planning Technology (SCPT) organization supporting Demand Planning and Pricing (DPP) platforms. As a Lead Software Engineer, you will report to an Sr. Engineering Manager and collaborate closely with Demand and Assortment Planners, Principal Engineers, Product Managers, and cross-functional partners. You will act as the technical leader for your squad, guiding and mentoring engineers while working across teams to deliver scalable platform capabilities across DPP.
This role is critical to building and scaling Nike’s Planning platform - enabling reliable, scalable, and extensible systems that support enterprise-wide capabilities across domains.
WHO WE ARE LOOKING FOREducation & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 8 - 12 years of experience building scalable backend systems
- 2+ years in a technical leadership role, guiding teams and driving architecture decisions
Technical Expertise (Core - Required)
- Domain expertise in implementing solutions for retail apparel industry specific demand planning, forecasting, and pricing capabilities
- Strong expertise in Full-stack software development and systems architecture
- Proven experience designing and operating large-scale distributed systems including API Design, Integration and Microservices, Database systems and Data Modeling, Security, Compliance and data privacy
- Hands-on experience with event-driven architecture and messaging systems (Kafka, RabbitMQ, or similar)
- Exposure to data engineering ecosystems (Spark, Databricks, or similar)
- Strong fundamentals in SQL and data modelling
- Understanding of batch and real-time data processing patterns
- Exposure to frontend technologies such as React or Angular
- Experience working on enterprise-scale platforms and integrations
- Familiarity with distributed systems and external service integrations
- Solid experience with Cloud infrastructure and deployment patterns (AWS preferred) and cloud-native design principles
- Strong understanding of CI/CD, containerization (Docker/Kubernetes), and DevOps practices