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