Develops secure, scalable Java and Spring Boot applications for Asset and Wealth Management Technology. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. Uses AI-assisted development tools across the SDLC, validates generated outputs, applies secure and responsible AI practices, and collaborates within agile teams using CI/CD and cloud technologies.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer II at JPMorganChase within the Asset and Wealth Management Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Software Engineer II at JPMorganChase within the Asset and Wealth Management Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
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
- Proficient in coding in Java, Spring boot & React, JavaScript languages
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Demonstrated experience using AI-based tools across the SDLC (such as GitHub Copilot, ChatGPT, or similar) for code development, testing, and automation is required
- 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.
- Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies'
- Hands on exposure to AWS and AI code assist tools is must
Similar Jobs
Financial Services
Develops and troubleshoots secure, scalable software using Java, ReactJS, and AWS within an agile team. Responsibilities include full software development lifecycle participation, AI-assisted coding, automated testing, system integration, technical troubleshooting, data analysis, and adherence to security, resiliency, and responsible AI practices.
Top Skills:
Ai-Assisted Software Development ToolsAWSCi/CdJavaReact
Financial Services
Develops secure, scalable Java full-stack applications using Spring Boot, ReactJS, and AWS. Uses authorized AI coding tools and prompt engineering to improve development, testing, documentation, and productivity while validating outputs for security and quality. Contributes to architecture, analyzes data for application improvements, troubleshoots software components, and participates in agile engineering practices, CI/CD, resiliency, security, and technical communities.
Top Skills:
Ai-Assisted Software Development ToolsAWSCi/CdGithub CopilotJavaPrompt EngineeringReactSpring Boot
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads complex supply chain planning and operations, including inventory, demand and supply matching, import/export, sales and operations planning, and trade compliance. Drives process improvements, performance metrics, cross-functional planning, demand signals, and strategic projects across global business units and supply bases. Manages regulatory trade compliance programs, mentors junior staff, and applies analytics, financial modeling, MRP, ATP, and master scheduling expertise.
Top Skills:
Available-To-Promise (Atp)Material Requirements Planning (Mrp)ExcelMS OfficeMicrosoft Powerpoint
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
