at J.P. Morgan
Bulge Bracket Investment BanksPosted 7 days ago
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**Senior Software Engineer (Java, Springboot): Design & Deliver Secure, Scalable Tech Products in Agile Team** As a Software Engineer III, drive market-leading tech solutions. You'll design, develop, and troubleshoot software, leveraging AI coding assist tools for enhanced productivity. With 3+ years of Java, Springboot, and Kubernetes experience, you'll ensure system design constraints are met. Analyze data and drive continuous improvement, while adhering to agile methodologies like CI/CD.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
Job responsibilities
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
- 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
- Hands-on experience in java, spring boot, modern JavaScript framework
- Experience with Kubernetes, cloud platforms, and microservices architecture, MQ, Kafka. Experience in design of distributed applications
- Selenium knowledge and experience to automate\work on testing scripts. Good understanding of Database, Hands on web services and PL/SQL, Oracle (DB DDL, DML, SP).
- 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, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, skills, and capabilities
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Exposure to full life-cycle experience in large systems, preferably in the financial industry
- Financial industry work experience is desirable; knowledge of SI Framework is desirable
- UNIX, Apache Tomcat, SQL knowledge is desirable
