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

Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 5, 2026. Chase UK scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Chase UK is the digital retail bank launched in the United Kingdom by JPMorgan Chase, offering app-based current and saver accounts, cashback on card spending and investing through JP Morgan Personal Investing, with its registered office at Canary Wharf in London. It launched in 2021 as the first international expansion of the Chase consumer banking brand, has no physical branches and provides round-the-clock support through its app and by phone. Its London-based teams include software engineers, product managers, data scientists, designers and customer service staff, and the bank bought the digital wealth manager Nutmeg in 2021.

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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