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JPMorganChase in Mumbai is seeking a Software Engineer II to grow skills across the Software Development Life Cycle. You will write secure, high-quality code in Python, leverage observability tools, and use AI-assisted development to accelerate delivery while ensuring security and resiliency.
The role emphasizes SDLC discipline, Agile practices, and microservice patterns in a large corporate environment. A strong foundation in AWS services and databases is preferred, with ongoing learning in
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 Commercial & Investment Bank
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 Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC - India/ LATAM/ Hong Kong) Hands‑on practical experience in Python, Observability, OTel, Dynatrace 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
Strong experience in SDLC delivery in Agile methodologies 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)