Enhance, construct, and deliver trusted, market-leading technology products in a secure, stable, and scalable manner for JPMorgan Chase's Chief Data Analytics Office (CDAO), focusing on AI/ML and data-oriented tools and capabilities.
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Advanced in one or more programming languages such as Java or Python
- AWS or EKS or Terraform Certifications.
- Knowledge and deep understanding of AWS concepts, including Athena/Glue/EMR/S3/SQS/SNS/Lambda etc.
- Proficient in AWS, EKS/ECS, Java/Python/Microservices based applications and Spring Boot.
- Deep experience in Java or Python development along with leveraging Terraform to build infrastructure in AWS.
- Hands-on experience implementing DevOps practices using tools such as Docker, Jenkins, Spinnaker, and Terraform.
Responsibilities
- Design and implement scalable cloud native software solutions using modern technology stacks to deliver highly available, performant, and resilient products.
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Serves as a function-wide subject matter expert in one or more areas of focus.
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
Other
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.
- Understanding and hands-on experience with public cloud technologies, especially with AWS, in the context of ML engineering workflows, specifically featurization, experimentation, training, and evaluation (Sagemaker/EMR)
- Strong InDepth hands on experience in Python and Java
