Senior Software Engineer III: Cloud-Native & AI-Driven

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase in Jersey City, NJ is seeking a Software Engineer III to join Audit Technology. You will design and deliver secure, scalable enterprise applications and cloud-native microservices with Java, Python, and React front-ends.

You will deploy to containerized runtimes (Docker/Kubernetes) and cloud environments (AWS), participate in Scrum, and drive code quality with automated tests, reviews, and AI-assisted development tools while upholding security standards.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Demonstrated experience building distributed applications using Java 8+ with Spring Boot/Spring and RESTful microservices.
• Demonstrated experience developing and maintaining services or automation in Python in a large enterprise environment.
• Working knowledge of modern frontend development with React and JavaScript/TypeScript, including API integration patterns.
• Experience building and operating software using CI/CD practices (automated builds, tests, quality checks, packaging, deployment, and environment promotion).
• Experience with containerization and orchestration (Docker, ECS and/or Kubernetes) and deploying to cloud environments (AWS preferred).
• Solid understanding of application resiliency and production readiness practices (logging/monitoring, alerting, performance, and operational support).
• Solid understanding of secure software development practices (authentication/authorization patterns, secrets management concepts, and vulnerability remediation).
• Strong problem-solving skills, ability to meet deadlines, and track record of delivering high-quality code.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

• Design, build, test, deploy, and maintain enterprise applications for Internal Audit in close collaboration with business and customer stakeholders.
• Develop cloud-native microservices (Java and Python), including defining service contracts (REST APIs) and integrating with internal and third-party services.
• Build and enhance rich client user experiences using React and modern web engineering practices.
• Deploy services to container-based runtime environments and support releases to private/public cloud environments (AWS preferred).
• Create proof of concepts with new frameworks and libraries, identify best practices, and adapt quickly to evolving requirements.
• Perform design reviews and peer code reviews, and promote code quality standards (readability, testing, security, resiliency, maintainability).
• Build and maintain CI/CD pipelines and automated release processes, including promoting application packages across environments.
• Participate in Scrum ceremonies, technical reviews, and continuous improvement efforts for configuration management, deployment, and operational readiness.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Support operational stability by contributing to monitoring, incident triage, root-cause analysis, and preventative fixes.

Job description

JPMorganChase in Jersey City, NJ is seeking a Software Engineer III to join Audit Technology. You will design and deliver secure, scalable enterprise applications and cloud-native microservices with Java, Python, and React front-ends.

You will deploy to containerized runtimes (Docker/Kubernetes) and cloud environments (AWS), participate in Scrum, and drive code quality with automated tests, reviews, and AI-assisted development tools while upholding security standards.