Software Engineer III - AWM Technology

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Software Engineer III to design, develop, and maintain large-scale data integration solutions in Asset Management technology.

You will build production-grade Python apps, create microservices and RESTful APIs, and leverage AWS for cloud-native deployments. You will collaborate with cross-functional teams to translate requirements, participate in CI/CD, and ensure secure, scalable delivery.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Experience in building, debugging, and maintaining code in a large corporate environment with Python, TypeScript and/or Java and database querying languages.
• Proven experience with large-scale data integrations in complex enterprise environments.
• Expertise in designing, building, and consuming microservices and RESTful APIs.
• Solid experience with AWS services (EC2, Lambda, S3, API Gateway, Glue, CloudFormation).
• Experience using AI-assisted development tools with ability to evaluate AI outputs for correctness, performance, and security.
• Understanding of secure coding practices and responsible AI usage in engineering workflows.
• Knowledge of SDLC, version control, automated testing, CI/CD, and agile methodologies.

Responsibilities

• Design, develop, and implement large-scale data integration solutions across enterprise systems.
• Build production-grade Python applications with focus on reliability and performance.
• Develop and consume microservices and APIs for seamless data flow.
• Utilize AWS cloud services to deploy and manage cloud-native applications.
• Collaborate with product owners, data architects, and business analysts to translate requirements.
• Participate in code reviews, testing, and CI/CD pipelines to ensure quality.
• Troubleshoot production issues to minimize downtime and optimize performance.
• Contribute to data model design for efficient storage and processing.
• Mentor junior engineers to foster a collaborative culture.
• Adopt enterprise AI coding assist tools while ensuring secure outputs.

Skills

Python

Java

TypeScript

AWS

CI/CD

Microservices

RESTful APIs

Agile methodologies

Security

Tools

Docker

Kubernetes

AWS CloudFormation

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Asset & Wealth Management Technology organization, 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.

As a Software Engineer III within Asset Management’s Sales Experience Platform (SEP) Team, you will play a critical role in designing, developing, and maintaining large-scale data integration solutions that support complex enterprise environments. You will leverage your hands-on expertise in production-grade Python, microservices, APIs, and AWS cloud technologies to deliver scalable, secure, and high-performance software solutions. This role offers the opportunity to work on cutting-edge financial technology projects that drive business value and innovation in asset management.

Job 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 a focus on reliability, scalability, and performance.

• Develop and consume microservices and APIs to enable seamless data flow and system interoperability.

• Utilize AWS cloud services to architect, deploy, and manage cloud-native applications and infrastructure.

• Collaborate with cross-functional teams including product owners, data architects, and business analysts to translate requirements into technical solutions.

• Participate in code reviews, testing, and continuous integration/continuous deployment (CI/CD) pipelines to ensure high-quality software delivery.

• Troubleshoot and resolve production issues, ensuring minimal downtime and optimal system performance.

• Contribute to the design and evolution of data models to support efficient data storage, retrieval, and processing.

• Engage in knowledge sharing and mentoring of junior engineers to foster a collaborative engineering culture.

• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• 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(Python, TypeScript and/or Jave)) and database querying languages

• Proven experience with large-scale data integrations in complex enterprise environments.

• Expertise in designing, building, and consuming microservices and RESTful APIs.

• Solid experience with AWS cloud services including but not limited to EC2, Lambda, S3, API Gateway, Glue and CloudFormation.

• 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 and best practices including version control, automated testing, and CI/CD.

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

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 technologies such as Docker and orchestration tools like Kubernetes.

• Proficiency in utilizing 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.