Senior Software Engineer (Java/Python) - Full Stack/Backend

JPMorgan Chase & Co.

Fairfax (DE)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. is seeking an Experienced Software Engineer to design and deliver trusted technology products in a secure, scalable way within Global Technology.

You may work on mobile features, big data for trading, payments innovations, or cloud platform integrations. The role requires hands-on coding in Java or Python, expertise in building scalable systems, and experience with AI-assisted development tools.

Qualifications

  • Hands-on practical experience in system design, application development, testing and operational stability.
  • Proficient in coding in Java or Python languages.
  • 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
  • Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Responsibilities

  • Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
  • Executes software solutions, design, development, and technical troubleshooting
  • 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.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces or contributes to architecture and design artifacts for applications while 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
  • 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
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Java
Python
System design
CI/CD
Secure coding
Agile methodologies
Big data familiarity

Tools

AI-assisted development tools
Cloud platforms
Database querying languages

Job description

JPMorgan Chase & Co. is seeking an Experienced Software Engineer to design and deliver trusted technology products in a secure, scalable way within Global Technology.

You may work on mobile features, big data for trading, payments innovations, or cloud platform integrations. The role requires hands-on coding in Java or Python, expertise in building scalable systems, and experience with AI-assisted development tools.

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