Software Engineer III - Java, Spring Boot, DevOps, AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorgan Chase, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives . Job responsibilities: - Design and Build Infrastructure Components: Design and build robust infrastructure components to support our technology solutions. - 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. - Build Application Components: Develop application components using Java, ensuring high-quality and secure code. - Write Secure Code: Write secure, high-quality code with minimal guidance, considering the impact on upstream and downstream systems. - Design, Develop, and Troubleshoot: Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications. - Designing and implementing infrastructure and application components on Azure and AwS. - Support Deployments and Configuration: Support deployments and configuration management to ensure smooth operations. - Data Analysis: Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development. - Learn and Apply System Processes: Learn and apply 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 3+ years applied experience - Hands-on experience in system design, application development, testing, and ensuring operational stability. - 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. - Experience in developing, debugging, and maintaining code in a corporate environment using modern programming and database querying languages. - Proficiency in Java, Spring Boot, and API development. - Hands-on experience with AWS and Azure cloud platforms. - Experience with Kubernetes for automating deployments, scaling, and management. - Proficiency with SQL databases. - Experience with scripting technologies such as Shell and Python. - Knowledge of API gateways and their configuration. Preferred qualifications, capabilities, and skills: - Proficiency in UI development using Angular or React. - Understanding of networking concepts. - Comprehensive experience across the entire SDLC. - Experience with Terraform for automating infrastructure tasks.