Job description

You’re 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 JPMorganChase within the Asset & Wealth Management Technology organization, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job Responsibilities • Executes standard software solution, design, development, and technical troubleshooting • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance • 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. • 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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation • Applies technical troubleshooting to breakdown 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 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 in a data processing and production environment • Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages (Python) and database querying languages (SQL) • Strong fundamentals with databases • 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 • Overall knowledge of the Software Development Life Cycle, including code review, testing strategies, release practices, and operational support • Understanding of agile methodologies and modern engineering practices such as CI/CD, application resiliency, and security • Working knowledge of AWS cloud concepts and services Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way

Requirements

Must-haves

You’re 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.
Executes standard software solution, 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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Applies technical troubleshooting to breakdown 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
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 in a data processing and production environment
Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages (Python) and database querying languages (SQL)
Strong fundamentals with databases
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Overall knowledge of the Software Development Life Cycle, including code review, testing strategies, release practices, and operational support
Understanding of agile methodologies and modern engineering practices such as CI/CD, application resiliency, and security
Working knowledge of AWS cloud concepts and services
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileaipythonsqlci/cdaws

Platform: oracle-cloud
Effort: medium