Software Engineer III – Python, Data, Cloud, AIML
2 weeks ago
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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