at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
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**Software Engineer II – Java/AWS Engineer** As a Software Engineer II at JPMorganChase, you'll collaborate in an agile team to enhance and deliver secure, scalable software components. You'll design, develop, and troubleshoot Java/Spring Boot applications, leveraging AWS, Kafka, and NoSQL databases like Cassandra/MongoDB. With 3+ years of experience, you'll execute standard software solutions, troubleshoot basic issues, and contribute to decision-making using data analysis. AI-assisted development tools will aid in improving coding efficiency and quality. Preferred: cloud-building experience and banking domain knowledge.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
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 firms 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
Formal 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
Exposure to cloud technologies and building cloud native applications
Banking domain knowledge
