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JPMorgan Software Engineer II - Python AWS Data 
India, Telangana, Hyderabad 
237420186

Yesterday

Job responsibilities

  • Work with Architect, Machine Learning engineers and Data engineers to identify technical and functional needs of data systems
  • Ensure adherence to defined development life cycle, Software design practices, and Architecture strategy and intent
  • Contribute to application frameworks in support of greater resiliency and self-healing capabilities
  • Contribute to monitoring frameworks to accomplish end to end flow monitoring and noiseless alerting with proper telemetry
  • Implement performance tests, identify bottlenecks, opportunities for optimization and continuous improvements
  • Participate in deep design reviews with application and platform teams throughout the life cycle to help develop software for reliability, speed and scale
  • Design and Develop distributed computation and parallel processing components to support high volume data pipelines
  • Support DevOps and CI/CD processes

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Advanced knowledge of application, data and infrastructure architecture disciplines
  • Experience in a Big Data technologies (Impala, Hive, Redshift, Kafka, etc.)
  • Experience in Spark processing large amount of data
  • Experience in Java/Python/SQL Development
  • Expertise in AWS stack designing, coding, testing, and delivering solution that supports high data volume
  • Experience with Spring Boot building Microservice and/or Web Apps
  • Advanced knowledge of one or more infrastructure components (e.g. containerization - docker, k8s)
  • Experience in end-to-end systems automation and orchestration
  • Experience with DevOps toolchains
  • Strong debugging and troubleshooting skills

Preferred qualifications, capabilities, and skills

  • Good understanding of SDLC and ITIL practices.
  • Knowledge of industry-wide technology trends and best practices.