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.