JPMorgan Software Engineer III - Java 

India, Karnataka, Bengaluru 

648525387

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience with micro services and API development using cloud native principles. Strong design and architecture skills
• Strong clean coding and object design skills (using GRASP, SOLID etc. principles). React, Angular, Javascript, HTML.
• Spring Framework - Spring Boot , Spring Cloud, Spring Security, Spring JPA Hibernate. Worked on development tools such as IntelliJ IDEA, Maven, BitBucket/Git.
• Testing frameworks like JUnit and Mockito. Experience in automated testing - Test Driven Development (TDD), Acceptance TDD (Cucumber/FitNesse). Experience in Micro Services Architecture, in Cloud/Container
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Debugging, profiling and tuning applications’ performance (JVisualVM)
• Knowledge on Application monitoring tools like AppDynamics
• Knowledge on Kubernetes Platform or similar.
• Auto-deployment tools and Continuous Integration Tools (Jenkins)