Software Engineer III; Full Stack

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 the Digital Banking division, 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.

• 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
• Develop backend services using Java, Spring Boot, Spring Web Flux, Python, or comparable technologies.
• Contribute to user-interface development using React or another modern JavaScript framework when required.
• Build RESTful APIs and event-driven integrations using technologies such as Kafka.
• Write clean, maintainable, secure, and well-tested code that follows established engineering standards.
• Build and support workloads running on technologies such as AWS ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, Elasti Cache, and Amazon Bedrock.
• Develop applications using cloud-native design principles, including scalability, resiliency, fault tolerance, high availability, and automated recovery.
• Support containerized workloads using Docker and Kubernetes.
• Contribute to infrastructure-as-code solutions using tools such as Terraform, AWS Cloud Formation, or equivalent technologies.

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong programming skills in Java, Python, JavaScript, or another modern programming language.
• Hands-on experience developing and deploying applications on at least one major public-cloud platform, preferably AWS.
• Knowledge of generative AI, large language models, prompt engineering, embeddings, vector databases, AI agents, and retrieval-augmented generation.
• Ability to learn new technologies quickly and apply them to practical business and engineering problems
• Experience with AWS services such as ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, Elasti Cache, Cloud Watch, IAM, API Gateway, and Amazon Bedrock.
• Experience with Java, Spring Boot, Spring Web Flux, Python, or React.
• 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

• Familiarity with OpenAI-compatible APIs, Amazon Bedrock, Lang Chain, Lang Graph, Semantic Kernel, or similar AI frameworks.rise-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.
• AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Solutions Architect – Associate, AWS Certified AI Practitioner, or an equivalent cloud certification.