J.P. Morgan
Lead Software Engineer - Liquidity - Stress
J.P. Morgan, Jersey City, New Jersey, United States, 07390
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 Lead Software Engineer at JPMorgan Chase within Corporate Technology, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for design, development, and technical troubleshooting across multiple technical areas within various business functions in support of the firm’s 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 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 Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies 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 Develops secure high-quality production code, and reviews and debugs code written by others Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability, including AWS cloud computing Advanced proficiency in one or more languages: Java, Python, Scala and Strong SQL and database skills Experience with data structures and algorithms and efficient coding practices Experience with Spark and distributed computing Demonstrated proficiency in code optimization and refactoring to enhance scalability and performance. Ability to collaborate well with global teams in geographically distributed locations across time zones Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security. Experience with automation and continuous delivery methods. Preferred qualifications, capabilities, and skills
Exposure to cloud technologies (AWS)
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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 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 Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies 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 Develops secure high-quality production code, and reviews and debugs code written by others Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability, including AWS cloud computing Advanced proficiency in one or more languages: Java, Python, Scala and Strong SQL and database skills Experience with data structures and algorithms and efficient coding practices Experience with Spark and distributed computing Demonstrated proficiency in code optimization and refactoring to enhance scalability and performance. Ability to collaborate well with global teams in geographically distributed locations across time zones Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security. Experience with automation and continuous delivery methods. Preferred qualifications, capabilities, and skills
Exposure to cloud technologies (AWS)
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