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Software Engineer II: Fullstack

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted a month ago

No clicks

**Software Engineer II: Fullstack** at JPMorgan Chase builds, enhances, and maintains secure, robust software components. Key responsibilities include executing software solutions, coding, and troubleshooting, all with strong consideration for upstream and downstream systems. Utilize tools across the Software Development Life Cycle, including enterprise-authorized AI coding assist tools, to optimize automation value and code quality. Required is a Bachelor's degree and 2+ years of experience in software engineering, with a proven ability to code and function effectively in a collaborative, agile environment.

Compensation
Not specified

Currency: Not specified

City
Jersey City
Country
United States

Full Job Description

Location: Jersey City, NJ, United States

Youre ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within Consumer & Community Banking, you are part of an agile team that designs, enhances, and delivers secure, stable, and scalable software components for the firms state-of-the-art technology products.

Job responsibilities

  • Executes standard software solutions, design, development, and technical troubleshooting

  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications

  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation

  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity

  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development

  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.

  • 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 2+ years applied experience

  • Hands-on practical experience in system design, application development, testing, and operational stability

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

  • Demonstrable ability to code in one or more languages

  • Experience across the whole Software Development Life Cycle

  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

     

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies

  • Exposure to cloud technologies

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer II: Fullstack

Compensation

Not specified

City: Jersey City

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

a month ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer II: Fullstack** at JPMorgan Chase builds, enhances, and maintains secure, robust software components. Key responsibilities include executing software solutions, coding, and troubleshooting, all with strong consideration for upstream and downstream systems. Utilize tools across the Software Development Life Cycle, including enterprise-authorized AI coding assist tools, to optimize automation value and code quality. Required is a Bachelor's degree and 2+ years of experience in software engineering, with a proven ability to code and function effectively in a collaborative, agile environment.

Full Job Description

Location: Jersey City, NJ, United States

Youre ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within Consumer & Community Banking, you are part of an agile team that designs, enhances, and delivers secure, stable, and scalable software components for the firms state-of-the-art technology products.

Job responsibilities

  • Executes standard software solutions, design, development, and technical troubleshooting

  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications

  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation

  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity

  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development

  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.

  • 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 2+ years applied experience

  • Hands-on practical experience in system design, application development, testing, and operational stability

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

  • Demonstrable ability to code in one or more languages

  • Experience across the whole Software Development Life Cycle

  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

     

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies

  • Exposure to cloud technologies

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team