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Senior Software Engineer - Cloud Integration, ITC

nike · Karnataka

New
Senior 🇬🇧 English
Python Node.js Java AWS Apache Spark Databricks Terraform CloudFormation Splunk SignalFx JIRA Jenkins Kafka NiFi

Job description

About the role

Nike is hiring a Senior Software Engineer for its Cloud Integration, ITC team in Karnataka. You will work in a collaborative engineering team that builds cloud-native applications and integration solutions with the help of AI, combining technical expertise with knowledge of Finance and Procurement. You will lead the design and development of services on the Nike cloud platform in a continuous delivery model, partnering with leads, architects and product managers to deliver consistent, robust, maintainable and scalable services. The team follows agile methodologies and practices DevOps.

Key responsibilities

  • Lead the design, development and maintenance of scalable data platforms and services supporting complex transactional flows globally
  • Architect SDKs, APIs and microservices for enterprise-wide data and analytics needs
  • Write clean, maintainable, well-tested code with full 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, and provide mentorship and code reviews
  • Develop AI and machine learning solutions for specific use cases and troubleshoot production issues

Required profile

  • 5+ years of software development experience
  • Proven track record of delivering reliable software at scale
  • Experience mentoring others through pairing, code reviews and architectural guidance
  • Strong analytical, problem-solving and communication skills, able to work with globally distributed teams

Required skills

  • Distributed microservice architecture, Domain-Driven Design and RESTful services
  • Python, Node.js and/or Java
  • AWS services such as SQS, DynamoDB, S3, SNS, CloudWatch, EC2, Lambda, ECS and EKS
  • Data pipelines with Apache Spark or Databricks, and containerized application development and orchestration
  • Terraform and CloudFormation for infrastructure as code
  • Splunk and SignalFx for monitoring and tracing; GitHub, JIRA, Jenkins
  • Plus: integration with SaaS platforms (Coupa, Ariba), SAP and Oracle Fusion, and open-source tools like Kafka and NiFi; AI and ML knowledge

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Source : ats:workday

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Published 11 hours ago

Expires 1 month from now

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nike

Karnataka