Software Engineer II - Agentic AI, Java , AWS , Springboot , Kafka

JPMorgan Chase & Co.; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai is hiring a Software Engineer II to join the Payments Technology team. You will contribute to designing, building, and securing software components for state-of-the-art financial products within an agile environment.

You will leverage enterprise AI-assisted development tools, work across the SDLC, and collaborate with teams to ensure scalable, secure solutions and timely delivery.

Qualifications

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Hands-on practical experience in Java, AWS, Springboot, Kafka.
• Experience using enterprise‑authorized AI-assisted software development tools with ability to evaluate outputs.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code using Java and other languages with limited guidance.
• Leverages AI coding assist tools to improve code quality, speed, and productivity while ensuring peer review and testing.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.
• Applies SDLC tools and AI-assisted development to improve automation and value.
• Applies technical troubleshooting to solve basic to moderate complexity problems.
• Gathers and analyzes large data sets to identify problems and inform decisions for secure, stable apps.
• Learns and applies SDLC methodologies and security practices.

Skills

Java

AWS

Springboot

Kafka

AI-assisted development

CI/CD

Security

Agile methodologies

Tools

Terraform

AWS ECS/EKS

PostgreSQL

Oracle

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
• 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)