Principal Software Engineer - Automation Engineering , ITC
INDIA TECHNOLOGY CENTER, India
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Nike
Nike delivers innovative products, experiences and services to inspire athletes.WHO YOUāLL WORK WITH
You will be part of RIEE (Resilience Insights & Efficiency Engineering) Team ā part of GT ā RESE (Global Technology ā Resilience and Enterprise Systems Engineering organization)
This position will be focused on AI Ops, and Agentic AI workflows, and work on projects that reduce tickets, save costs and make our workflows efficient.Ā You will spend much of your time with Software Engineers in Automation and adjacent teams. Ā You will also partner closely with other Principal Software Engineers, Solution Architects, Engineering Directors, and Product Managers in ITC Automation COEĀ and Resilience and Enterprise Systems Engineering organization.
WHO WE ARE LOOKING FOR
We are looking for a Principal Software Engineer as part of our ITC Automation COE teamĀ at Nike. Ā The ideal candidate will be a servant leader, bringing deep technical expertise in Automation to solve complex engineering problems to enable Nikeās pursuit to deliver state of the art Automation to run Nikeās business and support our athletes.
The ideal candidate will possess a deep understanding of modern technical concepts, a meticulous eye for detail, and a strong commitment to Value driven delivery. They should also be highly self-driven, exhibit exceptional communication skills, and work with a strong sense of urgency and integrity.
Bachelorās degree in Computer Science, Engineering, or related field
10 to 14 years of professional hands on experience in application engineering in Full Stack development using several open sources, modern programming languages like Java, JavaScript frameworks and libraries like React, Node, Python and Redux
Lead the development and deployment of Agentic AI models using LLM models, including data preparation, Data ingestion.
Processing & Storage, Model Training (Supervised and Unsupervised Data), and model serving at Production grade and scale is a must
Experience in developing and API integration is a must
Working knowledge of AIOps and GenAI use cases is a must
Hands-on experience implementing and supporting modern software architectural principles, SOA principles and patterns (REST, domain-driven design, Devops, microservices, etc.)
Experience in cloud service platform (AWS, GCP, Microsoft) is a must
Experience inĀ Python, Databricks, ML Flow, DS Pie, SQL, Full stack development is must
Working knowledge of technologies like TensorFlow/PyTorch for deep learning models, Machine Learning, Kubernetes, Dockers, Git, PyCharm, SSL/TLS for secure communication etc
Well versed with Agile methodology and working knowledge of JIRA and Confluence
Excellent problem-solving and communication skills to effectively communicate with both business and technical teams
Comfortable working in a fast-paced, results-oriented environment
Understanding of Automation platforms (RPA, Pega, Power Platform etc) is a plus
ITIL Foundation Certified will be an advantage
WHAT YOUāLL WORK ON
You'll play a key role in designing and delivering automation-driven solutions to streamline business processes and improve operational efficiency. Youāll work on well-defined problems, lead solution design, and drive execution end-to-endāwith minimal supervision.
Collaborate with other platform teams and engineers to develop and deploy AI and ML models, and ensure seamless integration with existing systems
Develop and maintain DevOps processes and tools to ensure the smooth operation of AI and ML pipelines, including continuous integration, continuous deployment, and continuous monitoring
Lead and mentor a team of engineers to design, develop, and deploy AIOPs models
Collaborate with stakeholders to identify business needs and develop solutions that meet those needs
Stay up-to-date with the latest advancements in GenAI, AIOps, AI and ML, and apply this knowledge to drive innovation and improvement in our organization
Ensure compliance with organizational and industry standards for data privacy, security, and ethics
Contribute to innovation by facilitating brainstorming and crowdsourcing of new ideas
Participate in the technical development and delivery of front-end User Experiences as well as back-end development
Ensure quality of the code and products throughout the entire development lifecycle (DevOps)Ā
Ensure continuous improvement in performance, scalability, extensibility, reliability, usability, and availability of the platform
Leverage agile methodology concepts for quality, delivery and continuous improvement
Participate in sprint planning and other scrum ceremonies. Help team plan and execute sprint tickets
Monitoring and supporting health services in production
Working with your local team and other geographically dispersed engineering teams to provide technical expertise on development and architecture
Partner with product owner to understand requirements and define an MVP for features and agree upon timelines
Collaborating with other engineering teams and architecture to develop new features technical solutions that meet business needs and align with Nikeās architectural standards
Working with application privacy and security teams to ensure the application is properly architected and maintained
Guide and mentor junior developers through code reviews and technical discussions
Support in COE setup
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile AIOps APIs Architecture AWS Computer Science Confluence Databricks Deep Learning DevOps Engineering GCP Generative AI Git ITIL Java JavaScript Jira Kubernetes LLMs Machine Learning Microservices ML models Model training MVP Pipelines Privacy Python PyTorch React Robotics RPA Scrum Security SQL TensorFlow
Perks/benefits: Career development
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