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JPMorgan Software Engineer II Python/Pyspark AWS Cloud 
India, Telangana, Hyderabad 
433706128

07.12.2024

Job responsibilities

  • Develop, test, and debug automated tasks for applications, systems, and infrastructure.
  • Troubleshoot priority incidents and facilitate blameless post-mortems.
  • Work with development teams throughout the software life cycle to ensure sustainable software releases.
  • Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions.
  • Build automations to reduce manual interventions for production operations.
  • Build monitoring and observability tools and processes.
  • Build and drive adoption for greater self-healing and resiliency patterns.
  • Lead and participate in performance tests to identify bottlenecks, opportunities for optimization, and capacity demands.
  • Participate in the 24x7 support coverage.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Demonstrate strong development skills in PySpark, Python, or Scala.
  • Possess experience in data preprocessing, ETL processes, and data pipeline creation.
  • Have experience with data storage solutions and cloud services like AWS EMR, EC2, and S3.
  • Utilize logging and monitoring tools such as Splunk, Dynatrace, and CloudWatch.
  • Implement CI/CD processes using tools like Jenkins and Spinnaker.
  • Develop and manage ML models in production, including model versioning and rollback strategies.
  • Optimize ML models and infrastructure for performance and cost-efficiency.
  • Conduct A/B testing and evaluate model performance.
  • Exhibit strong analytical and troubleshooting skills for ML pipelines and production systems.
  • Communicate effectively and collaborate with data scientists, engineers, and global support teams

Preferred qualifications, capabilities, and skills

  • Bachelor’s (with 4+yrs of exp) or master’s degree (with 2+yrs of exp) in computer science, Data Science, Engineering, or a related field.
  • Experience with AWS cloud services (e.g.: AWS EMR, ECS/EKS, EC2, S3)
  • Relevant certifications in cloud platforms (e.g., AWS, DevOps).