Full Job Description
Active TS/SCI w/ Polygraph required.
Job Description:
-Design, build, and maintain cloud-based software and infrastructure that powers enterprise-wide ML
-Implement and refine CI/CD workflows across development, test, and production environments -Identify opportunities to architect new solutions, enhance existing pipelines, and guide mission partners
Required Qualifications:
-5+ years of experience with Object-Oriented Programming (OOP), including in Python
-5+ years of experience developing containerized applications, including API design and authentication -5+ years of experience developing software using cloud technologies, including AWS
-5+ years of experience leveraging MLOps platforms and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
-5+ years of experience developing prompts, tools, and agents with LLMs
-Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
-Bachelor's degree in CS or Software Engineering
-Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire date
Preferred Qualifications:
-Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, Bedrock, and IAM
-Experience with Kubernetes
-Experience with IaC tools such as Helm and Terraform -Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, within a cloud environment
-Experience with version control tools, including Git
-Master's degree
-Security+ CE, SSCP, CCNA-Security, or GSEC Certification
