Software Engineering III - Java, Automation, AI (Multiple openings)

JPMorgan Chase & Co.

Chicago (IL)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

JPMorgan Chase & Co. in Chicago is seeking a Software Engineer III to join the Commercial & Investment Bank - Payments team. You will be a seasoned contributor, designing and delivering trusted market-leading technology products in a secure, scalable manner.

You will work in an agile team, applying SDLC practices, CI/CD, and responsible AI usage to produce robust code and artifacts, while improving quality and efficiency across complex systems.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years hands-on SDLC experience.
  • Hands-on experience building/testing automation frameworks.
  • Hands-on building/maintaining automation frameworks at scale.
  • Advanced in Java.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Experience leading the use of approved AI-assisted development tools with validation of outputs.
  • Strong understanding of responsible AI use in engineering workflows.
  • Advanced understanding of agile methodologies such as CI/CD, resiliency, and security.
  • Proven proficiency in cloud/AI/ML/mobile software processes.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting with non-routine approaches.
  • Creates secure, high-quality production code and maintains production-ready algorithms.
  • Leverages AI coding assist tools to improve code quality, speed, and productivity with peer review.
  • Applies SDLC tools to improve automation value and outcomes.
  • Produces architecture and design artifacts for complex applications.
  • Gathers and visualizes data to drive continuous improvement of software systems.
  • Proactively identifies hidden data patterns to improve coding hygiene and architecture.

Skills

Java
Automation frameworks
CI/CD
AI-assisted development tools
Secure coding
Agile methodologies
Problem solving
Data visualization
Software architecture

Education

Bachelor's in Computer Science or Software Engineering
Certifications in SDLC/QA

Tools

CI/CD tooling
AI coding assistants

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 Commercial & Investment Bank - Payments 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 5+ years hands on Software Development Life Cycle experience
  • Hands‑on practical experience in building and maintaining testing automation frameworks with strong problem solving skills
  • Hands‑on building/maintaining automation frameworks at scale
  • Advanced in one or more programming language(s), such as Java
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations;
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
  • Hands on experience and knowledge of financial services industry and their technology infrastructure.
  • Hands on experience with Golang or RUST
  • Automated failure triage patterns: failure clustering, flaky test detection, rerun rules, quarantining workflows
  • Contract testing concepts and tools
  • Component/service validation patterns
  • Building a reliable canary testing framework
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