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Location
In office (Mumbai)
Seniority
Middle · 2+ years exp

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Oct 5, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

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 JPMorgan Chase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that designs, enhances, and delivers software components for the firm’s state-of-the-art technology products in a secure, stable, and scalable manner. As an emerging member of the software engineering team, you contribute to end-to-end software solutions through the design, development, and technical troubleshooting of multiple components across products, applications, and systems, while building the skills and experience needed to advance and grow within your role.

Job Responsibilities

  • Executes standard software solution, design, development, and technical troubleshooting

    Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • 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
  • Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills -

  • Formal training or certification on software engineering concepts and 2+ years applied experience (NAMR/APAC - India/ LATAM/ Hong Kong)
  • 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
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
  • Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Full stack Java developer experience in enterprise application development
  • Strong experience in SDLC delivery in Agile methodologies
  • At least two years experience in Java 17+
  • Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
  • Experience writing Terraform scripts and deploying in AWS production environment
  • Experience in at least one relational database management system (preferably Oracle or PostgreSQL)
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