Lead Software Engineer - AIML
Lead Software Engineer - AIML
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Join JPMorgan Chase as a Lead Software Engineer - Cloud/AWS and shape the future of AI/ML! At our Chief Data Analytics Office (CDAO) were pioneering data-oriented tools and capabilities promoting strategic investments in AI/ML. Be part of our engineering team building innovative managed AI/ML platforms to enhance usability scalability security and reliability for CDAO-hosted managed services.
As a Lead Software Engineer - Cloud/AWS at JPMorgan Chase within Chief Data Analytics Office (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.
Job responsibilities
- Designs and implements 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 language(s)(Eg: Java 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 AWS
- Understanding ML engineering workflows specifically featurization experimentation training and evaluation (Sagemaker/EMR)
Employment Type
Full-Time
