Software Engineer II - Agentic AI Java AWS Springboot Kafka

JPMorganChase; Mumbai; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

JPMorganChase in Mumbai is seeking a Software Engineer II to contribute to the Payments Technology team. You will join an agile squad, develop and troubleshoot software components, and use enterprise AI-assisted tooling to improve quality and delivery speed while ensuring secure, scalable solutions.

The role emphasizes full SDLC involvement, experience with Java, AWS, Spring Boot, and Kafka, and collaboration across teams to deliver reliable payments technology platform features.

Qualifications

• Formal training or certification in software engineering concepts.
• 2+ years of applied experience in software development.
• Hands-on experience with Java, AWS, Spring Boot and Kafka.

Responsibilities

• Executes standard software design, development, and troubleshooting.
• Writes secure, high-quality code with minimal guidance.
• Leverages AI coding assist tools and validates outputs via peer reviews and tests.
• Designs and troubleshoots components considering upstream/downstream systems.
• Gathers data to identify issues and informs secure, stable development decisions.
• Participates in SDLC and agile practices including CI/CD and security.

Skills

Java

AWS

Spring Boot

Kafka

CI/CD

Secure coding

Education

Software engineering certification

Tools

Terraform

AWS EKS

AWS ECS

EC2

PostgreSQL

Oracle

Job description

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 Agentic AI, Java , AWS , Springboot , Kafka
• 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)