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Software Engineer III

Job Description - Software Engineer III

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 JPMorgan Chase within the Corporate Technology , Employee Platforms 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 in software engineering concepts plus 3 years of applied experience
  • Proficiency in reliability, scalability, performance, security, toil reduction and site reliability best practices with the ability to implement these practices within an application or platform
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment
  • Ability to set team practices for safe AI usage in operations
  • Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, etc.)
  • Experience and exposure to observability tools and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
  • Proficiency in automation and continuous delivery methods
  • Experience with troubleshooting common networking technologies and issues
  • 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.
     



 



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