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JPMorgan Chase & Co.

Software Engineer III Java AWS Mainframe

JPMorgan Chase & Co. · Hyderabad, Telangana, India

Financial Services · 10,001+ employees

4 h ago Closes in 2d
Mid (2-5 yrs) Full-time India
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About the role

The Software Engineer III will design and deliver secure, scalable technology products as part of an agile team. Responsibilities include writing high-quality production code, participating in code reviews, and leveraging AI-assisted tools to improve development productivity.

What they look for

Java Spring Boot AWS Microservices REST APIs Maven Git SQL Kafka CI/CD Agile AI-assisted development Unit testing Mainframe Python Unix shell scripting

Requirements

Candidates must have at least 3 years of applied software engineering experience and a bachelor's degree in a relevant field. Proficiency in Core Java, Spring Boot, and familiarity with SDLC, CI/CD, and distributed systems are required.

Full description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the CONSUMER CARD TECHNOLOGY, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Implements well-defined software features and fixes using established patterns and team standards.
  • Writes secure, high-quality production code with appropriate unit/integration tests.
  • 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.
  • Participates in code reviews (giving and receiving feedback) to improve code quality and maintainability.
  • Assists with technical troubleshooting by following runbooks, logs, dashboards, and guidance from senior team members.
  • Contributes to documentation (design notes, operational procedures, support guides) and keeps them current.
  • Works with product partners and team members to clarify requirements and estimate work at the story/task level.
  • Supports CI/CD pipelines and helps resolve build/deploy issues with guidance.
  • Contributes to team ceremonies and helps maintain a strong culture of inclusion, ownership, and continuous improvement.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • BE/BTECH degree or equivalent practical experience.
  • Proficiency in one or more programming languages, with working experience in Core Java and Spring (Spring Boot / MVC).
  • Working knowledge of REST APIs, microservices fundamentals, and basic distributed systems concepts.
  • Working experience with common dev/build tools such as IntelliJ/Eclipse, Maven, BitBucket/Git/Gitflow and test tooling (e.g., JMeter or similar).
  • 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.
  • Basic experience with data stores and messaging (e.g., SQL and exposure to Kafka / NoSQL concepts).
  • Understanding of SDLC, agile delivery, and engineering practices like CI/CD, security, and resiliency basics.
  • Ability to communicate clearly, learn quickly, and collaborate effectively within a team.

Preferred qualifications, capabilities, and skills

  • Exposure to AWS services (e.g., ECS, EMR, RDS, Lambda, S3) and cloud-native deployment concepts.
  • Familiarity with front-end technologies (e.g., React, AngularJS, Bootstrap) or willingness to learn.
  • Exposure to scripting/automation (e.g., Python and/or Unix shell scripting).
  • Banking domain exposure (mainframe technologies like COBOL/JCL/DB2/IMS/VSAM/CICS) is a plus, not required.
  • Interest in AI/ML tooling or languages (nice-to-have).