Full Stack Software Engineer

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

JPMorganChase is seeking a Hedge Funds - Full Stack Software Engineer II to join the Asset and Wealth Management technology team in Bengaluru. You will contribute to designing, building, and stabilizing software components for firm-wide technology products within a secure, scalable environment.

As part of an agile team, you will write secure code, utilize AI-assisted development tools, and work across the SDLC to deliver robust solutions.

Qualifications

• Formal training or certification on software engineering concepts; 2+ years applied experience.
• Hands-on experience in system design, development, testing, and operational stability.
• Experience with one or more modern programming languages and database querying languages.

Responsibilities

• Writes secure and high-quality code with limited guidance.
• Leverages AI coding assist tools to improve code quality, speed, and productivity with peer reviews and testing.
• Designs, develops, and troubleshoots components within the software product and SDLC.
• Gathers and analyzes data to identify problems and support secure, stable application development.
• Learn and apply SDLC processes and security requirements.

Skills

Software engineering concepts

System design

Application development

Testing and debugging

Agile methodologies

AI-assisted development tools

Education

Software engineering certification

Tools

AI coding tools

Job description

Hedge Funds - Full Stack Software Engineer II 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 Hedge Funds - Full Stack Software Engineer II at JPMorganChase within Asset and Wealth Management, 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 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 Hands‑on experience using enterprise‑authorized AI‑assisting 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

Proficient in Java and building Spring Boot based applications. Experience with ReactJS or Angular is preferred. Experience on any cloud platform is preferred. Experience with Python is good to have. Experience with any RDBMS databases like SQL Server, Oracle etc. is preferred. Candidate should be open to learning and adopting new technologies. Experience Level Mid Level