Software Engineer III (Full-Stack)
$138K/yr – $185K/yr
You'll complete your application on the employer's website.
$138K/yr – $185K/yr
You'll complete your application on the employer's website.
Job type
Salary
$138K/yr – $185K/yr
Location
Sector
Posted
18 days ago
JPMorganChase is hiring a Software Engineer III for Audit Technology. The role designs, builds, deploys, and maintains enterprise applications and cloud-native services for Internal Audit, while supporting secure, reliable operations and collaborating with business stakeholders and an agile team.
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
Preferred
Experience implementing or integrating LLM-based capabilities (e.g., retrieval patterns, evaluation approaches, guardrails) in enterprise applications
Exposure to developing AI Agent-style solutions/workflows and related orchestration patterns
Familiarity with additional frontend frameworks such as Angular
Experience with cloud service integrations and event-driven/messaging patterns
Strong research, investigation, presentation, and evaluation skills, with the ability to communicate technical tradeoffs clearly
LLM Integration
Enterprise Application Development
Retrieval Patterns
LLM Evaluation
Guardrail Implementation
AI Agent Development
AI Workflow Development
Orchestration Patterns
Angular
Cloud Service Integration
Event-Driven Architecture
Messaging Patterns
Technical Tradeoff Analysis
Research
Investigation
Presentation
Evaluation
Clear Communication
Benefits
Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Retail and commercial banking, lending, and investment services
New York, New York, USA
https://www.chase.com/
Founded in 2000
10001+ employees
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
Experience implementing or integrating LLM-based capabilities (e.g., retrieval patterns, evaluation approaches, guardrails) in enterprise applications
Exposure to developing AI Agent-style solutions/workflows and related orchestration patterns
Familiarity with additional frontend frameworks such as Angular
Experience with cloud service integrations and event-driven/messaging patterns
Strong research, investigation, presentation, and evaluation skills, with the ability to communicate technical tradeoffs clearly
Required skills
Java, Spring Boot, RESTful Microservices, Python, React, JavaScript, TypeScript, CI/CD, Containerization and Orchestration Docker, Containerization and Orchestration Amazon ECS, Containerization and Orchestration Kubernetes, AWS, Secure Software Development, LLM Integration
Experience
3+ years
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