Develops secure, scalable full-stack software for JPMorgan Chase’s Asset and Wealth Management Data and Analytics team. Responsibilities include coding with Java, React, TypeScript, Python, and AWS; designing, testing, debugging, and troubleshooting applications; analyzing data; supporting operational stability; and applying agile, CI/CD, security, resiliency, and AI-assisted development practices.
As a Software Engineer II within the Asset and Wealth Management Data and Analytics team at JPMorgan Chase, you are part of an agile group that designs, enhances, and delivers secure, stable, and scalable software components for the firm’s state-of-the-art technology products. As an emerging member of this software engineering team, you implement software solutions by contributing to the design, development, and technical troubleshooting of multiple components across applications, systems, and technical products, while building the skills and experience needed to advance in your role
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
- 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
- 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Tech Skills ; FullStack - React, TypeScript, Java/Python Backend, AI skills, AWS infrastructure
- 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
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- 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 output
Preferred qualifications, capabilities, and skills
- Experience with Java , Spring Boot, Spring JPA, Database
- Familiarity with modern front-end technologies
- Exposure to cloud technologies AWS
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Manage end-to-end digital marketing campaigns and executions including builds, audience segmentation, testing, deployment, and optimization. Administer marketing automation stack, support integrations, track KPIs with channel managers, and improve lead lifecycle processes, nurturing, data hygiene, and workflow automation. Maintain documentation, templates, and share campaign best practices across stakeholders.
Top Skills:
6SenseAi Automation ToolsMarketoPendoSalesforceZuddl
Cloud • Security • Software • Cybersecurity • Automation
Serve as a partner-facing Solutions Architect for GSIs in India, owning technical partner activation, building demos, reference architectures and workshops, advising on DevSecOps/CI/CD adoption, and collaborating with sales and product teams to drive partner-sourced revenue.
Top Skills:
AIAWSCi/CdDastDevsecopsGCPGitGitlabInfrastructure-As-CodeKubernetesSast
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Sr. Software Engineer will develop feature extraction engines, collaborate with data scientists, and test software systems while working with complex file formats and reverse engineering.
Top Skills:
AWSAzureBitbucketC++GCPGitJenkinsJIRAPythonRust
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
