Lead Software Engineer - Innovation

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, Type Script, 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, Dynamo

DB, Elasticsearch, or Google Cloud/Azure equivalents)

Deep expertise in cloud-native development (AWS), front-end frameworks (React), and Type Script

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.

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