JPMorgan Software Engineer III - Java 

India, Karnataka, Bengaluru 

650626860

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.
• Works closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.
• 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
• Hands-on practical experience in system design, application development, testing, and operational stability
• Extensive design, coding, testing and debugging skills in Java and Spring Boot framework
• Proficient in coding in in Java 17, Spring Boot, and Databases
• Advanced in two or more technologies – Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL
• Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Strong skills around object-oriented analysis and design (OOAD), data structures, algorithms, design patterns
• 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

• Familiarity with modern front-end technologies
• Understanding or experience with Language Models (LLM).
• Experience with Machine Learning or AI technologies.
• Exposure to cloud technologies
• Exposure to Python programming language
• Independent and self-motivated
• Strong interpersonal and communication skills