Software Engineer II

JPMorgan Chase

Ohio

On-site

USD 110,000 - 160,000

Full time

4 days ago
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Job summary

JPMorganChase is seeking a Software Engineer III to join the Legal Technology Data Management team. You will contribute as a senior member of an agile team, delivering trusted, secure, scalable software solutions and driving improvements across data-driven platforms.

You will leverage enterprise AI-assisted development tools, ensure code quality, participate in peer reviews, and apply secure coding standards while working within the SDLC ecosystem.

Qualifications

  • 3+ years of practical software engineering experience.
  • Experience in system design, application development, testing, and operational stability.
  • Experience coding in a modern language and querying databases in a large corporate environment.
  • Experience using enterprise AI-assisted development tools with validation of outputs for correctness, performance, and security.
  • Understanding of responsible AI use and secure handling of data.
  • Knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies including CI/CD, Application Resiliency, and Security.

Responsibilities

  • Execute software solutions, design, development, and troubleshooting beyond routine problems.
  • Create secure, high-quality production code and maintain algorithms.
  • Leverage AI coding assist tools to improve code quality, speed, and productivity with peer review and testing.
  • Apply SDLC tools and AI-assisted development to improve automation value.
  • Produce architecture and design artifacts and ensure constraints are met by software code development.
  • Gather and analyze data to visualize and report for continuous improvement of software applications.
  • Identify hidden patterns in data to drive improvements in coding hygiene and system architecture.

Skills

Software design
System design
Application development
Operational stability
AI-assisted development
Data analysis
Agile methodologies

Education

Formal training in software engineering

Tools

AI-assisted development tools
SDLC toolchain
Automated testing tools

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 Legal Technology Data Management team, 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 and database querying languages
  • 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
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
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