Lead Software Engineer - AWS, Python, Terraform, and Machine Learning
Lead Software Engineer - AWS, Python, Terraform, and Machine Learning
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$ 152000 - 215000
1 Vacancy
Job Description
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 firms 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
Employment Type
Full-Time
