Software Engineer III (Full-Stack)

Responsibilities

• Design, build, test, deploy, and maintain enterprise applications for Internal Audit in collaboration with business and customer stakeholders.
• Develop Java and Python cloud-native microservices and integrate them with internal and third-party services.
• Build and enhance React-based user experiences with API integration patterns.
• Deploy containerized services to private and public cloud environments, with AWS preferred.
• Create proofs of concept, participate in design and code reviews, and promote code quality, security, resiliency, and maintainability.
• Build and maintain CI/CD pipelines and automated release processes across environments.
• Participate in Scrum ceremonies, technical reviews, configuration management, deployment, and operational readiness efforts.
• Use authorized AI-assisted development tools for coding, refactoring, testing, troubleshooting, and documentation while validating outputs for correctness, performance, and security.
• Support operational stability through monitoring, incident triage, root-cause analysis, and preventative fixes.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Experience building distributed applications with Java 8+, Spring Boot, Spring, and microservices.
• Experience developing and maintaining Python services or automation in a large enterprise environment.
• Experience with React, JavaScript, and TypeScript for modern frontend development.
• Experience building and operating software with automated builds, tests, quality checks, packaging, deployment, and environment promotion.
• Experience with Docker, ECS and/or Kubernetes and deployment to cloud environments, preferably AWS.
• Understanding of application resiliency, production readiness, logging, monitoring, alerting, performance, operational support, and secure software development.
• Hands-on experience using enterprise-authorized AI-assisted software development tools and critically evaluating and refining their outputs.
• Understanding of responsible AI use, data sensitivity, secure handling of inputs and outputs, resiliency, and security expectations.
• Preferred qualifications include LLM-based capability integration, AI-agent workflows, Angular, cloud service integrations, event-driven or messaging patterns, and strong technical research and communication skills.

Benefits

• Competitive total rewards package with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash or forfeitable equity.
• Benefits may include comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• JPMorganChase offers equal employment opportunity, diversity and inclusion, and reasonable accommodation support.