Software Engineer III - AI Native Development

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

JPMorganChase is seeking a Software Engineer III in Jersey City to join an agile team delivering trusted market-leading technology. You will design and deploy secure, scalable software across multiple domains, leveraging AI-assisted tools and modern cloud services in a large corporate environment.

You will contribute to code quality, architecture artifacts, and data-driven insights while applying CI/CD, security, and resiliency practices throughout the software lifecycle.

Qualifications

  • 3+ years of applied software engineering experience
  • Experience in system design, development, testing, and operational stability
  • Experience with Java, Python and SQL in a large corporate environment
  • Experience using enterprise AI-assisted development tools with validation for correctness, performance, and security
  • Understanding of responsible AI use, data sensitivity, and secure handling of outputs

Responsibilities

  • Executes software solutions, design, development, and troubleshooting beyond routine approaches
  • Creates secure, high-quality production code and maintains algorithms
  • Leverages AI coding tools to improve code quality, delivery speed, and productivity with peer review and secure coding
  • Applies SDLC toolchain knowledge to improve automation value
  • Produces architecture and design artifacts for complex applications and ensures design constraints are met
  • Gathers and analyzes data to develop visualizations and reports for continuous improvement
  • Identifies hidden patterns in data to drive coding hygiene and system improvements

Skills

Java
Python
SQL
AI-assisted tools
CI/CD
Security best practices
SDLC knowledge
Agile methodologies
AWS services

Education

Formal training or certification in software engineering

Tools

EC2
Lambda
ECS/EKS
S3
RDS
DynamoDB
Kafka/Kinesis/SQS/SNS
Terraform/CloudFormation

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Asset Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

  • 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.

  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience

  • Hands-on practical experience in system design, application development, testing, and operational stability

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Java & Python) and database querying languages (SQL)

  • 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

  • Hands-on experience deploying and running services (e.g., EC2, Lambda, ECS/EKS, S3, EBE, RDS, DynamoDB, VPC, API Gateway, etc..)

  • Strong database proficiency writing/tuning queries, understanding schema and performance, with experience working with Aurora/PostgreSQL.

  • Hands-on experience with messaging, data streaming and event processing, using Kafka or Amazon Kinesis/MSK/SQS/SNS

  • Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation

Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies (React)

  • AWS certification(s) – Developer, Solutions Architect, ML Engineer, AI Developer, DevOps Engineer, CloudOps Engineer

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