{"id":4232584,"url":"https://alion.io/job/nike-lead-software-engineer-itc-7","title":"Lead Software Engineer, ITC","company":{"id":1634,"name":"Nike","domain":"nike.com","url":"https://alion.io/company/nike","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":72,"ghost_share":0,"stale_share":0.611,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Docker","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"WebSockets","optional":false},{"name":"A2A","optional":true},{"name":"Agentic Workflows","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CloudFormation","optional":true},{"name":"CrewAI","optional":true},{"name":"Databricks","optional":true},{"name":"Figma","optional":true},{"name":"GCP","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-13T10:40:08Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T10:40:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"WHO YOU’LL WORK WITH\nAt 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.\nWHO WE ARE LOOKING FOR\nWe 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.\nWHAT YOU’LL WORK ON\nDesign, build, deploy, and own complete, scalable, and reliable Agentic AI and software platforms and services.\nLead the technical design of Distributed systems and Agentic AI services, DevOps using Kubernetes\nBuild reusable frameworks, libraries, and data management tools to improve productivity.\nOptimize performance and cost-efficiency of ML workflows and compute layers.\nCollaborate with stakeholders such as ML/MLOps Engineers, Business domain Technology teams, and product managers to understand and translate the business requirements into technical solutions.\nLead the development and production of agentic and AI/LLM powered enterprise systems.\nCollaborate with Product Managers to ensure the experiences are optimized for usability and performance.\nImplement security best practices to protect data and ensure compliance with industry standards.\nDevelop and maintain automated tests to ensure the quality and reliability of the software.\nProvide technical leadership and mentorship to junior engineers.\nEnsure the uptime, reliability, and monitoring of the systems you build and own.\n7+ years of experience in software development, with a strong foundation in object-oriented development, distributed systems, cloud-native architectures, and AI/Data platforms.\nStrong 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\nExperience building Agentic AI systems, LLM orchestration, prompt engineering, RAG patterns, and agentic architectures. 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