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Full-time

Software Engineer III (Full-Stack)

$138K/yr – $185K/yr

Jersey City, NJIT & TechnologyPosted 18d ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

$138K/yr – $185K/yr

Posted

18 days ago

Job description

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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