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 JPMorganChase 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.
Job responsibilities
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 WebFlux, 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, ElastiCache, 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 CloudFormation, or equivalent technologies.
Required qualifications, capabilities, and skills
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, ElastiCache, CloudWatch, IAM, API Gateway, and Amazon Bedrock.
Experience with Java, Spring Boot, Spring WebFlux, 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
Preferred qualifications, capabilities, and skills
Familiarity with OpenAI-compatible APIs, Amazon Bedrock, LangChain, LangGraph, 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.