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Salary
$84k – $175k per year (Estimated)
Location
In office (Plano)
Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

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 - Digital & Platform Services, 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 break down 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
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 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.
  • IBM iSeries (AS/400) development experience; DB2 for i - files, views, indexes, triggers, stored procedures.
  • LANSA / Visual LANSA IDE development and LANSA upgrade planning & execution.
  • IBM MQ and CDC Replication (InfoSphere CDC / IIDR or equivalent).
  • Java & Python on IBM i (PASE environment).
  • Debugging - STRDBG, STRISDB, Service Entry Points, job logs, Visual Explain, remote Java/Python debug
  • Sustained resiliency & maintenance - HA/DR support, PTF management, performance tuning, technical debt remediation.
  • Git version control (Bitbucket/GitHub), Aldon LMI, Robot Scheduling, ServiceNow.
  • AI-powered tools - GitHub Copilot, ChatGPT, Claude agents; prompt engineering for legacy code analysis.

Preferred qualifications, capabilities, and skills

  • Strong proficiency in CLP, CLLE, RPGLE, SQLRPGLE, LANSA, Visual LANSA IDE development (free-format preferred).
  • Experience with ILE concepts, service programs, and modular application design; Exposure to web services (REST/SOAP) from IBM i or Python/Java.
  • Knowledge of data areas, data queues, and inter-process communication on IBM I; Familiarity with IBM i Access Client Solutions (ACS) and Navigator; Experience with IBM Rational Developer for i (RDi) or VS Code with Code for IBM i extension; Hands-on experience with HA/DR tools (e.g., MIMIX, iTera, Quick-EDD, or IBM PowerHA)
  • ITIL foundation knowledge for service management and change advisory processes; Experience integrating AI tools into CI/CD pipelines or automated code review workflows; Understanding of AI governance, responsible use policies, and data privacy considerations when using LLMs with enterprise code
  • SAFe or other scaled Agile framework experience; Understanding of CI/CD pipelines in an IBM i context
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