Software Engineer II (Java & AWS)

JP Morgan Services India Pvt Ltd; Hyderabad; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

JPMorganChase in Hyderabad is seeking a Software Engineer II to develop and maintain enterprise-grade Java applications on AWS. You will work in an agile team, contributing to design, development, and troubleshooting while embracing AI-assisted coding tools to boost quality, speed, and reliability.

The role requires 2+ years of experience with Java and AWS, familiarity with enterprise environments, and a strong focus on secure coding practices within a modern SDLC.

Qualifications

• 2+ years of hands-on software engineering experience in Java and AWS.
• Experience with a large enterprise environment and modern programming languages.
• Experience using AI-assisted development tools and secure coding practices.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code with limited guidance.
• Leverages AI coding assist tools to improve code quality and productivity.
• Designs and troubleshoots with consideration of upstream/downstream systems.
• Applies SDLC tools and automation to improve value and resiliency.

Skills

Java

AWS

Agile

CI/CD

Security

AI-assisted development

Education

Software engineering certification

Tools

Terraform

AWS EC2/ECS

PostgreSQL

Job description

Software Engineer II - Java , AWS 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)

Experience Level Mid Level