Develops secure, scalable Java software within an agile data technology team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, system monitoring, and operational stability. The role uses AWS, Spring, microservices, Kafka, Camunda, React or Angular, CI/CD tools, and AI-assisted development tools while promoting secure, responsible engineering practices.
You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase within the Consumer and community banking- Data technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
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
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, deploying and administering Java applications using JAVA, Spring Boot, Spring REST, Spring JPA and Hibernate and Web services technologies (REST).
- Working knowledge in any one of the Public Cloud Environments - Amazon Web Services (AWS S3, Lamda, EC2, ECS, RDS, etc.), Microsoft Azure, or Google Cloud Platform.
- Experience with Distributed tracing, Monitoring tools, Micro service Architecture, Apache Kafka and Camunda.
- Experience in UI frameworks such as React JS, Angular JS, HTML5, JavaScript, CSS, XML, JQuery.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Experience working in Application Development, Quality and Automation teams
- Experience in using SCM tools and frameworks such as Bitbucket, GitHub.
Must have hands on the following build tools (or similar): IntelliJ/Eclipse, Jenkins, Maven, BitBucket/Git/Gitflow, JMeter/Blazemeter.
Preferred qualifications, capabilities, and skills
- Have good understanding on DBMS concepts.
- Good knowledge of issue tracking systems, preferably Jira and Confluence
Good to have experience in Terraform, Kubernetes and Snowflake.
JPMorganChase Bengaluru, Karnataka, IND Office
Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103
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