Responsibilities
- Expertise and fluency in AI/ML techniques.
- Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices.
- Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas.
- Implement and manage containerization strategies using OpenShift/Kubernetes.
- Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
- Monitor and optimize system performance, reliability, and availability.
- Automate infrastructure and application deployment processes.
- Ensure security best practices are implemented throughout all DevOps procedures.
- Troubleshoot and resolve issues in development, test, and production environments.
Requirements
- Bachelor’s degree and a minimum of 8 years related technical experience required.
- An additional 4 years of experience may be substituted in lieu of a degree.
- Demonstrated fluency in AI/ML techniques.
- Proficiency in scripting and automation (Bash, Python, etc.).
- Strong understanding of containerization principles (Docker, Podman, etc.).
- Ability to work independently and collaboratively in a team environment.
- Experience interfacing with clients, technical support personnel, and other technical professionals to ensure efficient and effective service.
- U.S. Citizenship is required.
- Ability to obtain a Public Trust security clearance required.
- Willingness and ability to travel 10-25%.
Core Competencies
Demonstrates expertise in AI/ML techniques and proficiency in designing and maintaining ETL pipelines using Python. Skilled in containerization strategies with OpenShift/Kubernetes and automating deployment processes while ensuring security best practices.
Certifications & Qualifications
- Public Trust Security Clearance