Senior TSSA, TrueSight Infrastructure Engineer/Analyst
GovCIO
Senior AI Infrastructure Engineer
Leidos
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $126,100 - $227,950 per year
Job Level
Senior
Tech Stack
AnsibleAWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformKubernetesPythonTerraform
About the role
- Develop and deploy AI platforms at scale across the enterprise
- Construct and maintain high-performance, scalable infrastructure for data scientists and AI/ML engineers
- Build and maintain scalable, reliable, and secure AI infrastructure using modern cloud and on-premise technologies
- Implement and manage AI/MLOps tools and CI/CD pipelines for AI model usage, training, deployment, and monitoring
- Ensure high availability, reliability, and performance of all AI platforms
- Collaborate with data scientists, engineers, and program managers to meet architectural designs
- Ensure compliance with AI lifecycle management frameworks
- Evaluate and recommend new technologies and frameworks
- Provide guidance and mentorship to development teams
Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 12+ years of professional experience
- Strong, hands-on experience with cloud services (AWS, Azure, or GCP)
- Containerization (Docker, Kubernetes) experience
- Infrastructure-as-code (Terraform, Ansible) knowledge
- Expert-level understanding of MLOps principles, CI/CD pipelines
- Proficiency in scripting languages such as Python or Bash
- Substantial understanding of cybersecurity principles as they apply to AI systems
- Must be a U.S. Citizen and able to obtain and maintain a security clearance.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI platformsMLOpsCI/CD pipelinescloud servicescontainerizationinfrastructure-as-codescripting languagescybersecurity principlesdata infrastructureAI lifecycle management
Soft skills
collaborationmentorshipguidancecommunicationproblem-solvingleadershiporganizational skillsarchitectural designreliability focusperformance optimization
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineeringrelated technical field
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