Software Engineer III - AWM Technology

JPMorganChase’s Asset & Wealth Management Technology team builds the software and data integration capabilities that support investment management, private banking, and wealth-focused solutions. In this role, you will work on large-scale integration and production systems using Python, microservices, APIs, and AWS. Expect a collaborative environment with cross-functional partners, a focus on operational reliability, and opportunities to share knowledge with junior engineers.

Location: Jersey City, NJ (onsite)

Compensation: USD 137,750 - 185,000 per year

Responsibilities

• Design, develop, and implement large-scale data integration solutions across complex enterprise systems to support asset management business needs.
• Build and maintain production-grade Python applications with an emphasis on reliability, scalability, and performance.
• Develop and consume microservices and APIs to enable seamless data flow and system interoperability.
• Use AWS cloud services to architect, deploy, and manage cloud-native applications and infrastructure.
• Collaborate with product owners, data architects, and business analysts to translate requirements into technical solutions.
• Participate in code reviews, testing, and CI/CD pipelines to support high-quality software delivery.
• Troubleshoot and resolve production issues to minimize downtime and maintain optimal system performance.
• Contribute to the design and evolution of data models that support efficient storage, retrieval, and processing.
• Share knowledge and mentor junior engineers to strengthen a collaborative engineering culture.
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity (including code generation/refactoring, unit test creation, and documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to the broader team.
• Apply tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to increase value from automation.

Requirements

• 3+ years of applied experience and formal training or certification on software engineering concepts.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience building, debugging, and maintaining code in a large corporate environment using modern programming languages ( Python, TypeScript and/or Jave ) and database querying languages.
• Proven experience delivering large-scale data integrations in complex enterprise environments.
• Expertise designing, building, and consuming microservices and RESTful APIs.
• Solid experience with AWS services, including EC2, Lambda, S3, API Gateway, Glue, and CloudFormation.
• Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with demonstrated ability to critically evaluate 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, plus ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle, including version control, automated testing, and CI/CD.
• Solid understanding of agile methodologies including CI/CD, Application Resiliency, and Security.

Technologies

Python, TypeScript, Jave, microservices, RESTful APIs, AWS cloud services, EC2, Lambda, S3, API Gateway, Glue, CloudFormation, CI/CD, Docker, Kubernetes, Salesforce, VS Code, DevGPT, Claude Code, NoSQL, relational databases

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Base salary determined based on the role, experience, skill set and location
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions
• Additional details about total compensation and benefits will be provided during the hiring process

Preferred Qualifications, Capabilities, and Skills

• Experience integrating Salesforce platforms.
• Knowledge of data model design principles and experience implementing data models in relational or NoSQL databases.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Proficiency using AI-powered coding tools, including VS Code integrated plugins such as DevGPT, Claude Code, and similar technologies, to enhance development productivity and code quality.
• Understanding of financial services domain, particularly asset management workflows and data requirements.

About the Team

• J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions.
• Asset Management provides individuals, advisors and institutions with strategies and expertise across the full spectrum of asset classes through a global network of investment professionals.
• Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.