Lead Software Engineer, ITC
Today Karnataka, India
About us
Nike designs, markets, and distributes athletic footwear, apparel, equipment, and accessories for sports and fitness activities globally, with a commitment to innovation, inspiration, and diversity.
- Size: 10,000+ employees
- Industry: Consumer Goods & Services
WHO YOU'LL WORK WITH
At Nike, we leverage the power of data and technology to serve athletes* around the world. The AI Platform engineering team is at the forefront of this mission-building scalable, secure, and intelligent AI platforms and services, focusing on Generative AI, that powers the decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for a passionate software engineers with a mission for designing and building robust AI platforms and services with Scale, performance, Cost optimizations in mind. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable software platforms and services.
WHAT YOU'LL WORK ON
At Nike, we leverage the power of data and technology to serve athletes* around the world. The AI Platform engineering team is at the forefront of this mission-building scalable, secure, and intelligent AI platforms and services, focusing on Generative AI, that powers the decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for a passionate software engineers with a mission for designing and building robust AI platforms and services with Scale, performance, Cost optimizations in mind. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable software platforms and services.
WHAT YOU'LL WORK ON
- Design, build, deploy, and own complete, scalable, and reliable Agentic AI and software platforms and services.
- Lead the technical design of Distributed systems and Agentic AI services, DevOps using Kubernetes
- Build reusable frameworks, libraries, and data management tools to improve productivity.
- Optimize performance and cost-efficiency of ML workflows and compute layers.
- Collaborate with stakeholders such as ML/MLOps Engineers, Business domain Technology teams, and product managers to understand and translate the business requirements into technical solutions.
- Lead the development and production of agentic and AI/LLM powered enterprise systems.
- Collaborate with Product Managers to ensure the experiences are optimized for usability and performance.
- Implement security best practices to protect data and ensure compliance with industry standards.
- Develop and maintain automated tests to ensure the quality and reliability of the software.
- Provide technical leadership and mentorship to junior engineers.
- Ensure the uptime, reliability, and monitoring of the systems you build and own.
- 7+ years of experience in software development, with a strong foundation in object-oriented development, distributed systems, cloud-native architectures, and AI/Data platforms.
- Strong expertise in building scalable and HA distributed systems, OOPS language like Java/Python/Go, Container technologies like Kubernetes/Docker, RDBMS/NoSQL databases, Distributed caches, Messaging pipelines like Kafka/RabbitMQ, REST or WebSocket based APIs
- Experience building Agentic AI systems, LLM orchestration, prompt engineering, RAG patterns, and agentic architectures. You have built and delivered AI-powered solutions, not just prototypes.
- Nice to have - Experience building agents using modern frameworks and protocols (MCP, A2A, LangGraph, Crew AI, or similar); you've gone beyond tutorials and built something meaningful, whether in production, a significant internal project, or a customer-facing PoC.
- Understanding LLM production concerns: grounding, guardrails, AI Governance, latency, cost optimization, and observability.
- Familiarity with knowledge graphs, vector stores, relational databases, and embedding pipelines.
- Advanced knowledge of any one or more ML cloud platform (AWS SageMaker, Databricks, Azure ML, GCP) and its ecosystem of services.
- Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
- Strong understanding of advanced data modeling techniques and modern data warehouses.
- Ability to design scalable, fault-tolerant, and maintainable distributed systems.
- A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications.
- Experience with UI/UX design principles and tools such as Figma or Adobe.
- Knowledge of security best practice and experience implementing security measures in software development.
- Strong collaboration and teamwork skills, with the ability to work effectively in a cross-functional team.
- Excellent spoken and written communication and stakeholder management skills.
Additional Information
- Job category: Software Engineering
- Posted: today
Perks and Benefits
Health and Wellness
- On-Site Gym
- Fitness Subsidies
- Long-Term Disability
- Short-Term Disability
- Life Insurance
- Vision Insurance
- Dental Insurance
- Health Insurance
- Virtual Fitness Classes
- Mental Health Benefits
- HSA
- FSA
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Fertility Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Vacation and Time Off
- Leave of Absence
- Sabbatical
- Personal/Sick Days
- Paid Holidays
- Paid Vacation
- Volunteer Time Off
- Summer Fridays
Financial and Retirement
- Financial Counseling
- Relocation Assistance
- Performance Bonus
- Stock Purchase Program
- Company Equity
- 401(k) With Company Matching
- 401(K)
- Profit Sharing
Office Life and Perks
- Commuter Benefits Program
- On-Site Cafeteria
- Holiday Events
- Company Outings
- Snacks
- Happy Hours
- Casual Dress
Professional Development
- Leadership Training Program
- Internship Program
- Associate or Rotational Training Program
- Work Visa Sponsorship
- Access to Online Courses
- Mentor Program
- Promote from Within
- Learning and Development Stipend
- Tuition Reimbursement
Diversity And Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
- Veteran founded/led