Lead Software Engineer - AWS, Python, Terraform, and Machine Learning

Are you ready to make a significant impact in the world of AI and machine learning?

As a Lead Software Engineer - Cloud/AWS at JPMorgan Chase within CDAO you will play a crucial role in an agile team, focusing on the enhancement, construction, and delivery of trusted, market-leading technology products in a secure, stable, and scalable manner. Your skills and contributions will have a significant impact on the business, and your deep technical expertise and problem-solving methodologies will be applied to address a wide range of challenges across various technologies and applications.

At CDAO (Chief Data Analytics Office), we drive our firm’s strategic investments in AI/ML and data-oriented tools and capabilities. Our engineering team is at the forefront of building innovative platforms, automating infrastructure operations, and enabling Agentic-based AIOps platforms. Our mission is to enhance scalability, security, and reliability for CDAO-hosted managed services.

Job 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.

Required qualifications, capabilities, and skills.

• 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.
• Hand-on experience with coding and testing microservices.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities, and skills

• 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