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Software Engineer III - Python/AWS

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 15 days ago

No clicks

**Software Engineer III - Python/AWS** Leverage Python, AWS, and Snowflake to drive AI/ML innovation. Key responsibilities include designing secure, high-quality code, troubleshooting, automating remediation, leading tech communities, and fostering inclusion. Apply senior-level software engineering concepts, agile methodologies, and cloud native AWS experience (3+ years). Requires Python fluency, advanced SDLC proficiency, and understanding of financial services IT systems. Enhance productivity using AI-assisted coding tools, ensuring secure and responsible AI use.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Full Job Description

Location: Plano, TX, United States

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer at JPMorgan Chase within the AI/ML & Data Platforms team, you are a core technical contributor and are responsible for creating critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

 

Job responsibilities

 

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems 
  • Develops secure high-quality production code, and reviews and debugs code written by other
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and system
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, equity, inclusion, and respect
  • Provide insightful code reviews and take ownership of outcome
  • Heavily uses Python, Snowflake and AWS technologies
  • Develop and communicate Product vision that supports the broader organizational vision; ensure team culture consistently demonstrates alignment with leadership principles.
  • 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.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience
  • 3+ years of Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Fluency in Python 
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical AWS cloud native 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.
Software Engineer at JPMorgan Chase within the AI/ML & Data Platforms team

Software Engineer III - Python/AWS

Compensation

Not specified

City: Not specified

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

15 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer III - Python/AWS** Leverage Python, AWS, and Snowflake to drive AI/ML innovation. Key responsibilities include designing secure, high-quality code, troubleshooting, automating remediation, leading tech communities, and fostering inclusion. Apply senior-level software engineering concepts, agile methodologies, and cloud native AWS experience (3+ years). Requires Python fluency, advanced SDLC proficiency, and understanding of financial services IT systems. Enhance productivity using AI-assisted coding tools, ensuring secure and responsible AI use.

Full Job Description

Location: Plano, TX, United States

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer at JPMorgan Chase within the AI/ML & Data Platforms team, you are a core technical contributor and are responsible for creating critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

 

Job responsibilities

 

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems 
  • Develops secure high-quality production code, and reviews and debugs code written by other
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and system
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, equity, inclusion, and respect
  • Provide insightful code reviews and take ownership of outcome
  • Heavily uses Python, Snowflake and AWS technologies
  • Develop and communicate Product vision that supports the broader organizational vision; ensure team culture consistently demonstrates alignment with leadership principles.
  • 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.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience
  • 3+ years of Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Fluency in Python 
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical AWS cloud native 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.
Software Engineer at JPMorgan Chase within the AI/ML & Data Platforms team