Software Engineer II - Java Kafka AWS

JPMorganChase; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JPMorganChase in India’s Hyderabad is seeking a Software Engineer II to join the Commercial & Investment Bank - Payments Technology team. You will be part of an agile team that designs, develops, and troubleshoots software components within a secure, scalable environment, building skills to grow in your role.

You will write secure, high-quality code, utilize AI-assisted development tools, and work across the software lifecycle in a large enterprise setting, with exposure to Java and AWS and

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on Java and AWS in a large enterprise setting.
• Experience with AI-assisted development tools and secure coding practices.
• Understanding of SDLC and CI/CD in Agile contexts.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code with limited guidance.
• Uses AI coding assist tools to improve quality and speed, with peer review.
• Designs and troubleshoots with consideration of upstream/downstream systems.
• Gathers data, analyzes it, and supports secure, stable application development.
• Learns and applies SDLC processes and security practices.

Skills

Java

AWS

Agile methodologies

Secure coding

AI-assisted development

Data analysis

Education

Software engineering certification

Tools

Terraform

AWS EKS

AWS ECS

AI-assisted dev tools

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

• A. Formal training or certification on software engineering concepts and 2+ years applied experience


• Hands‑on practical experience in system Java, AWS


• 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

• Backend 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)