Software Engineer III (Full Stack)

JPMorganChase•Jersey City, NJ

About The Position

As a Software Engineer III at JPMorganChase within the Digital Banking division, you serve as a seasoned member of an agile team designing and delivering trusted, secure, stable, and scalable technology products. You carry out critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. You develop backend services and contribute to user-interface development as needed. You build RESTful APIs and event-driven integrations, write clean and secure code, and support cloud-native and containerized workloads. The role also involves infrastructure as code, software development lifecycle tools, and responsible use of enterprise-authorized AI coding assistance, with outputs validated through review, testing, and secure coding standards.

Requirements

Formal training or certification in software engineering concepts and at least 3 years of 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
Experience across the full software development lifecycle.
Exposure to agile methodologies, CI/CD, application resiliency, and security.

Nice To Haves

Familiarity with OpenAI-compatible APIs, Amazon Bedrock, LangChain, LangGraph, Semantic Kernel, or similar AI frameworks.
Experience using authorized AI-assisted software development tools for coding, testing, troubleshooting, or documentation, with the 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 equivalent cloud certification.

Responsibilities

Execute standard software solution design, development, and technical troubleshooting.
Write secure, high-quality code using at least one programming language, with limited guidance.
Use enterprise-authorized AI coding assistance and automation tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards.
Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications.
Apply software development lifecycle tools, including authorized AI-assisted development and automation capabilities.
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 using AWS technologies such as ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, ElastiCache, and Amazon Bedrock.
Develop cloud-native applications designed for scalability, resiliency, fault tolerance, high availability, and automated recovery.
Support containerized workloads using Docker and Kubernetes.
Contribute to infrastructure-as-code solutions using Terraform, AWS CloudFormation, or equivalent technologies.