WHO WE ARE LOOKING FOR

We’re seeking a lead software engineer 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 goto 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

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.