Lead Software Engineer - Innovation

Who We Are Looking For

We’re seeking a Lead Software Engineer - Innovation who can lead complex projects, influence technical direction, and mentor others. You’re a strategic thinker, a strong communicator, and a champion of engineering excellence.

What You Will Work On

• Architect and build robust, scalable systems across AWS, React, TypeScript, Databricks and AIML tech stacks.
• Be a hands-on engineer at 70% capacity and guide and mentor other engineers in the team at 30% capacity.
• Be the go-to person to drive technical alignment across the squad.
• Mentor engineers and foster a culture of learning and innovation.
• Collaborate with stakeholders across various disciplines to define and deliver impactful solutions.
• Ensure systems are secure, performant, and maintainable.
• Contribute to team rituals and help shape engineering culture.

What You Bring

• Positive attitude, growth mindset, being honest and having strong technical & non-technical communication skills is a must-have.
• High alignment with NIKE’s leadership principles and a passion for mentoring.
• Bachelor’s degree in computer science or related field. Will accept any combination of education, experience, or training.
• 8+ years of software engineering experience.
• 3+ years native cloud engineering experience in a high scale, business critical domain.
• 3+ years of data engineering experience with Databricks.
• Excellent computer science fundamentals including algorithms, data structures, and modern cloud native design patterns.
• Proven expertise in systems design and high-level end to end thinking.
• Deep experience with distributed cloud systems tech (Java, node.js, EC2, Lambda, DynamoDB, Elasticsearch, or Google Cloud/Azure equivalents).
• Deep expertise in cloud-native development (AWS), front-end frameworks (React), and TypeScript.
• Ability to build and maintain relationships with multiple senior stakeholders.
• Proven ability to lead projects and influence technical strategy.
• Solid foundations on AIML concepts, vector databases, RAG and Gen AI design patterns is a huge plus.
• Domain experience in additive manufacturing, robotics, simulations, computational algorithms, point cloud optimizations, statistical methodologies and product creation is a huge plus but not required.

Key skills/competency

• AWS
• React
• TypeScript
• Databricks
• AIML
• Systems Design
• Cloud-Native
• Distributed Systems
• Technical Leadership
• Stakeholder Collaboration