Skillset Required
5+ years of experience in software development, with a strong foundation in distributed microservice architecture, Domain-Driven Design and RESTful services
Proficiency in programming languages such as Python, Node.js, Java
Proven ability to deliver high-impact, API-first microservices at scale
Deep expertise with cloud platforms like AWS offerings (e.g., SQS, DynamoDB, S3, SNS, CloudWatch, EC2, Lambda, ECS, EKS)
Experience designing and optimizing data pipelines using Apache Spark or Databricks
Proficiency in containerized application development, deployment, and orchestration
Demonstrated expertise in Terraform, CloudFormation for Infrastructure as Code operations
Experience leading technical design discussions and making critical architecture decisions
Experience with monitoring and tracing tools like Splunk, SignalFx
Familiarity with GitHub, JIRA, Jenkins
Hands-on development experience with tools like VS Code, Cursor, GitHub Copilot
Strong problem-solving and analytical thinking skills
Proven track record in working with fast-paced, results-oriented environment which has globally distributed and diverse teams
Excellent communication and collaboration skills to effectively communicate with both Product and Technical teams
Integration experience with SaaS platforms (e.g., Coupa, Ariba), SAP, and middleware solutions (Oracle Fusion) is a plus
Working experience integrating with open-source applications (e.g., Kafka, NiFi) is a plus
Knowledge of AI & ML concepts and applications is a plus
WHAT YOU’LL WORK ON
Lead the design, development, and maintenance of scalable data platforms and services supporting complex transactional flows globally
Architect SDKs, APIs, and microservices to support enterprise-wide data and analytics needs
Write clean, maintainable, and well-tested code with all needed documentation
Drive best practices in software development, data governance, and platform observability
Make critical technical design choices and establish architectural patterns across the team
Collaborate with senior engineers, architects, and cross-functional teams to develop robust solutions
Ensure data quality and reliability through testing and validation
Develop artificial intelligence and machine learning solutions tailored to specific use cases
Provide mentorship and help develop technical talent in alignment with Nike's technology standards
Lead code reviews and contribute to team knowledge sharing
Troubleshoot and resolve production issues
Follow Agile methodologies and practice DevOps
