JPMorgan Software Engineer II Java Application Support 

India, Telangana, Hyderabad 

730468559

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
• Troubleshoot priority incidents, facilitate blameless post-mortems.
• Work with development teams throughout the software life cycle ensuring 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 real-time monitoring and observability tools and processes.
• Build and drive adoption for greater self-healing and resiliency patterns.
• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands.
• Participate in the 24x7 support coverage as needed.
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Demonstrable ability to code in Java
• Experience with the Spring framework (Core, REST API, web services, messaging), with experience in Spring Boot and microservice architecture.
• Experience with data storage solutions, including SQL, NoSQL databases (Cassandra ), data lakes, and S3.
• Familiarity with logging and monitoring tools such as Kibana, Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Excellent communication skills, with the ability to collaborate effectively with data scientists, engineers, and other stakeholders, and a willingness to stay updated with the latest trends in ML and MLOps.

Preferred qualifications, capabilities, and skills

• Knowledge in Python and Scala
• Exposure to cloud technologies
• Relevant certifications in cloud platforms (e.g., AWS Machine Learning, DevOps, Certified Kubernetes Administrator/Developer).