Software Engineer II - Java backend + Agentic AI

JPMorgan Chase; Dadri; On-site; INR 900,000 - 1,700,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer II in India to join the Payments Technology team. You will work in an agile setup to design, develop, and troubleshoot secure, scalable software components, using enterprise AI tools and modern languages.

You will contribute across the SDLC, participate in CI/CD, and help maintain system resiliency and security. Strong Java experience and cloud deployment know-how are preferred.

Qualifications

• 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 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
• 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 ECS/EKS and deployed to EC2 instances
• Experience writing Terraform scripts and deploying in AWS production environment
• Experience in at least one relational database management system (Oracle or PostgreSQL)

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 to improve code quality, delivery speed, and productivity, while validating outputs through peer review and automated testing
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the SDLC toolchain to improve automation value
• 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 secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Skills

Software engineering training

2+ years experience

System design

Application development

Testing

Operational stability

AI-assisted development tools

Responsible AI

SDLC experience

CI/CD

Security

Application resiliency

Agile methodologies

Java full stack

Agile SDLC

Java 17+

Microservices (AWS ECS/EKS)

Terraform

Oracle/PostgreSQL

Tools

AWS EC2

Kubernetes (EKS/ECS)

Terraform

Oracle / PostgreSQL

Job description

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- Payments Technology team, 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 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)