Join us and take your software engineering career to new heights, working on cutting-edge technology in a collaborative environment. You’ll have the opportunity to design and deliver market-leading products, leveraging Cloud-native and AI/ML engineering. We value your creativity, problem-solving skills, and passion for learning. Be part of a team that celebrates diversity, equity, and inclusion, and supports your professional growth. Your contributions will help shape the future of financial technology.

As a Software Engineer III at JPMorgan Chase as a part of the Markets Research Technology team, you will be responsible for designing and delivering secure, stable, and scalable technology products. Your role will involve hands-on work across data engineering, backend development, and AI/ML engineering, with a focus on industrializing models at a production scale. You will collaborate with agile teams to tackle complex technical challenges and support the firm''s business objectives. Your contributions will have a direct impact on our technology stack and foster innovation within our team culture.

Job Responsibilities

Execute software solutions, design, development, and technical troubleshooting

Create secure, high-quality production code and maintain algorithms

Produce architecture and design artifacts for complex applications

Build engineering stack for Data and AIML products, including Cloud infrastructure, DevOps, and MLOps

Design and implement data engineering solutions using modern big data technologies

Contribute to software engineering communities of practice and technology events

Foster a team culture of diversity, opportunity, inclusion, and respect

Embrace learning, problem-solving, creative thinking, and a can-do attitude

Required Qualifications, Capabilities, and Skills

Formal training or certification on software engineering concepts and proficient applied experience

Hands-on experience in system design, application development, testing, and operational stability

Proficient in coding in one or more languages, including Python

Experience developing, debugging, and maintaining code in large environments

Knowledge of the Software Development Life Cycle

Proven ability in system design, microservices, distributed systems, and data-intensive applications

Experience with Cloud services, Infrastructure as Code, containerized application development, and big data technologies

Practical experience developing production-scale Cloud-native data engineering solutions

Familiarity with Cloud Data engineering services and MLOps

Ability to convey design choices and communicate effectively with stakeholders

Preferred Qualifications, Capabilities, and Skills

Experience with data and application migration to AWS

Experience working on recommendation systems or other AI/ML systems

Practical experience with Kubernetes, EKS, Docker, MLOps, and Spark

Prior experience collaborating with data scientists

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