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

JPMorgan Chase & Co.•Plano, TX

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
Develop application components using Java, ensuring high-quality and secure code.
Write secure, high-quality code with minimal guidance, considering the impact on upstream and downstream systems.
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 management to ensure smooth operations.
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, methodologies, and skills for the development of secure, stable code and systems.