Software Engineer III (Full Stack)

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorganChase is hiring a Software Engineer III in the Digital Banking division. You will join an agile team to design and deliver trusted, scalable tech products in a secure environment.

Responsibilities span backend services, UI contributions, RESTful APIs, and event-driven integrations using Kafka. You'll work with Java, Spring Boot, Python, and modern JS like React, on AWS-based workloads, with Terraform/CloudFormation for IaC and Docker/Kubernetes for containers.

Qualifications

• Formal training or certification in software engineering concepts.
• 3+ years applied experience in software engineering.
• Strong programming skills in Java, Python, JavaScript, or a modern language.

Responsibilities

• Executes standard software solution, design, development, and troubleshooting.
• Writes secure, high-quality code with limited guidance.
• Leverages AI coding assist tools to improve code quality and speed, with peer review.
• Designs and troubleshoots with consideration of upstream/downstream systems.
• Applies SDLC tools and automation to improve value.
• Develop backend services using Java, Spring Boot, Spring WebFlux, Python, or comparable technologies.
• Contribute to UI development using React or another modern JS framework.
• Build RESTful APIs and event-driven integrations using Kafka.
• Write clean, secure, well-tested code following engineering standards.
• Build workloads on AWS (ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, ElastiCache) and Bedrock.
• Develop apps using cloud-native design principles (scalability, resiliency, etc).
• Support containerized workloads with Docker and Kubernetes.
• Contribute to IaC solutions with Terraform or CloudFormation.

Skills

Java

Python

JavaScript

Cloud platforms (AWS)

Generative AI / LLMs

CI/CD

Agile methodologies

Security & resiliency

Education

Formal training or certification in software engineering

Tools

Terraform

AWS CloudFormation

Docker

Kubernetes

React

Kafka

Job description

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.