Software Engineer II (Java and AWS)

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

JPMorganChase in Bengaluru is seeking a Software Engineer II to contribute to Payments Technology. You will join an agile team to design, develop, and troubleshoot software in a secure, scalable environment. The role emphasizes code quality, secure coding, and collaboration across the SDLC.

You will work with Java/Spring Boot, AWS, and NoSQL/databases, while leveraging AI-assisted development tools to accelerate delivery and maintain high standards.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Experience in system design, application development, testing, and operational stability.
• Hands-on coding in Java/Spring Boot with cloud native AWS familiarity.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code with limited guidance.
• Leverages enterprise AI coding assist tools to improve quality and speed, with peer review and secure coding checks.
• Designs and troubleshoots components considering upstream/downstream systems.
• Applies SDLC tools and AI-assisted development to improve automation and value.
• Gathers and analyzes data to identify problems and support secure, stable development.
• Learns system processes and skills for secure, stable code and systems.

Skills

Java,

Spring Boot

AWS

Kafka

NoSQL

AI-assisted development

Tools

MongoDB

Cassandra

CI/CD Tools

Job description

Software Engineer II - Java/AWS Engineer

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

• F ormal training or certification on software engineering concepts and 3+ years applied experience
• 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 (Java, Spring Boot)
• Practical cloud native experience - AWS
• Knowledge of distributed technologies such as Kafka for messaging and NoSQL databases such as Cassandra/MongoDB
• 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

• Exposure to cloud technologies and building cloud native applications
• Banking domain knowledge
• Experience Level Mid Level