Who You’ll Work With
We are seeking a highly skilled Full Stack Principal Engineer with advanced AI capabilities to lead the design, development, and deployment of innovative solutions across our technology stack. The ideal candidate will possess deep experience in SDLC and demonstrate a strong ability to architect and implement scalable applications that leverage the latest advancements in artificial intelligence.
Who We Are Looking For
10+ years of professional software engineering experience.
Extensive experience in full stack development (e.g., JavaScript, Python, Java, cloud platforms) including familiarity with frontend designs.
Proven expertise in Databricks for large-scale data processing and analytics.
Strong understanding and hands-on experience with Generative AI technologies (e.g., LLMs, text/image generation), including retrieval-augmented generation, vector search, semantic/hybrid retrieval, or recommendation-system design.
Familiarity with Agentic AI concepts, including autonomous agents and multi-agent systems, orchestration and tool-calling design.
Ability to design, train, and deploy machine learning models in production environments.
Excellent problem-solving, communication, and leadership skills.
Bachelor’s or master’s degree in computer science, Engineering, or related field.
Experience with cloud-based AI deployment (AWS, Azure, GCP).
Knowledge of LLMOps, MLOps, DevOps, and CI/CD pipelines.
Background in data security and compliance including familiarity with enterprise auth patterns like bearer/OBO auth, JWT pass-through, service principals, secrets management, and row-level access patterns.
Observability, tracing, and operational debugging.
Performance testing and scalability tuning.
AI eval harnesses, canary/golden datasets, guardrails, faithfulness checks, and regression monitoring and systems.
Ability to drive reusable standards, shared patterns, and platform leverage across multiple products/teams.
What You Will Work On
Lead the development and integration of full stack solutions, including front-end, back-end, and data engineering components.
Architect and implement AI-powered features using Databricks, Generative AI models, and Agentic AI frameworks.
Collaborate with cross-functional teams to identify opportunities for automation and intelligent systems within business processes.
Mentor and guide engineering teams, fostering best practices in software development and AI integration.
Ensure robust security, scalability, and performance of deployed applications.
10+ years of professional software engineering experience.
Extensive experience in full stack development (e.g., JavaScript, Python, Java, cloud platforms) including familiarity with frontend designs.
Proven expertise in Databricks for large-scale data processing and analytics.
Strong understanding and hands-on experience with Generative AI technologies (e.g., LLMs, text/image generation), including retrieval-augmented generation, vector search, semantic/hybrid retrieval, or recommendation-system design.
Familiarity with Agentic AI concepts, including autonomous agents and multi-agent systems, orchestration and tool-calling design.
Ability to design, train, and deploy machine learning models in production environments.
Excellent problem-solving, communication, and leadership skills.
Bachelor’s or master’s degree in computer science, Engineering, or related field.
Skills Required
- 12+ years of progressive experience in software engineering
- At least 5 years in a senior leadership or principal engineer capacity
- Extensive expertise in building, deploying, and scaling data platforms and cloud-native architectures
- Advanced proficiency in Python, Java, Scala, Go, or C++
- Comprehensive knowledge of data engineering and analytics technologies
- Strong track record with DevOps methodologies and CI/CD pipelines
- Experience driving and managing complex technology projects
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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