Software Engineer III – Python, Data, Cloud, AIML

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