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

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

Chicago, IL, United States and 1 more

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Job Information

Job Identification

210790874

Job Category

Software Engineering

Business Unit

Commercial & Investment Bank

Posting Date

09/14/2026, 05:48 PM

Locations

10 S Dearborn St, Chicago, IL, 60603, US

575 Washington Blvd, Jersey City, NJ, 07310, US

Job Schedule

Full time

Job Shift

Day

Base Pay/Salary

Chicago,IL $114,000.00-$155,000.00; Jersey City,NJ $137,750.00-$185,000.00

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

• 5+ years SDLC experience with formal software engineering training or certification
• Advanced Java programming and hands-on automation framework development at scale
• Proficiency in AI-assisted development tools, automation, CI/CD, and secure agile methodologies