Design, develop, and maintain secure, scalable software solutions using AI-assisted practices. Produce architecture artifacts, implement APIs and integrations, build automated tests, analyze large datasets for insights, and ensure operational stability using cloud, CI/CD, and observability tools.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Join a team that delivers high-impact risk technology while embracing AI-assisted ways of working.
Job summary
As a Software Engineer III at JPMorganChase within our Consumer & Community Banking Risk Technology team supporting consumer and community banking, you design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You work with us in an agile environment that is “AI first,” using artificial intelligence to drive innovation, efficiency, and better business outcomes. You contribute across multiple technical areas and partner closely with teammates to deliver critical solutions that support the firm’s business objectives.
Job responsibilities
- Execute software solutions, including design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems
- Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications and ensure design constraints are met through implementation
- Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that drive continuous improvement
- Proactively identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture
- Leverage AI-assisted development practices and tools to improve developer productivity and delivery outcomes
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on experience in system design, application development, testing, debugging, and operational stability in a large corporate environment
- 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.
- Proficiency building and supporting application programming interfaces (APIs), including REST APIs, Swagger/OpenAPI documentation, and messaging/streaming with Kafka
- Hands-on experience with automated testing and quality practices, including JUnit, Mockito, SonarQube, and code coverage tools
- Experience with cloud and infrastructure technologies including Amazon Web Services (AWS) services (ECS, RDS, Lambda, Step Functions), Kubernetes, Terraform, and relational databases (Oracle and PostgreSQL)
- Experience using integrated development environments and validation/diagnostic tooling including IntelliJ IDEA, VS Code, Postman or Bruno, and observability/monitoring tools such as Splunk, Grafana, and the ELK stack
- Solid understanding of the software development life cycle and agile delivery practices, including continuous integration/continuous delivery (CI/CD), application resiliency, and security using Jenkins, Spinnaker, or equivalent tools, plus strong collaboration skills (requirements detailing and providing estimates for epics)
Preferred qualifications, capabilities, and skills
- Hands-on experience using AI developer tools such as Copilot and Claude and delivering in an “AI first” development environment
- Experience building solutions using agentic AI frameworks
- Experience with contract testing and behavior-driven development (BDD) approaches such as Cucumber/Gherkin
- Experience with test automation frameworks such as Karate
JPMorganChase Bengaluru, Karnataka, IND Office
Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103
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