Software Engineer III (Full Stack)

JPMorgan Chase & Co.•Jersey City, NJ
•$137,750 - $185,000

About The Position

As a Software Engineer III in JPMorganChase’s Digital Banking division, you serve as a seasoned member of an agile team designing and delivering trusted technology products in a secure, stable, and scalable way. You carry out critical technology solutions across technical areas and business functions in support of the firm’s business objectives. The role involves developing backend services and contributing to user-interface development as needed, building RESTful APIs and event-driven integrations, and supporting cloud-native, containerized workloads and infrastructure-as-code solutions. You write maintainable, secure, well-tested code and use enterprise-authorized AI coding assistance where appropriate, validating its outputs through peer review, automated 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 entire Software Development Life Cycle.
  • Exposure to agile methodologies such as 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 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.
  • Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized through 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 on cloud 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 Terraform, AWS CloudFormation, or equivalent technologies.

Benefits

  • Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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