Spearhead development and deployment of advanced data and AI/ML solutions across AWS cloud, on-premises, and edge environments
Ensure infrastructure supports robust, secure, and scalable software products for the Federal Government
Design, implement, and manage scalable and secure infrastructure solutions to support advanced AI, data analytics, and edge computing applications
Support the set-up, deployment and maintenance of cloud infrastructure on AWS and on-premises environments
Ensure infrastructure aligns with security, compliance, and regulatory standards relevant to our industry and clients
Collaborate with cross-functional teams, including developers, product managers, and security experts, to deliver integrated solutions
Monitor infrastructure performance, identify bottlenecks, and optimize resources for cost-efficiency and performance
Develop and maintain documentation for infrastructure designs, configurations, and operational procedures
Lead disaster recovery and business continuity planning efforts to ensure infrastructure resilience
Stay current with emerging technologies and industry best practices to continuously improve infrastructure capabilities
Requirements
Top Secret Clearance required with SCI eligibility
Minimum Clearance Required to Start: TS/SCI with Polygraph
Bachelor’s degree in Computer Science, Information Technology, Electrical Engineering, or a related field
7+ years of experience working as a systems/cloud administrator or in a related field
Experience with Infrastructure-as-Code (IaC) for provisioning cloud and on-premise resources (Terraform, CloudFormation)
Experience with containerization and orchestration technologies (Docker, Kubernetes, Helm)
Proficiency in networking protocols, security practices, and enterprise architecture frameworks
Thorough understanding and application of DevOps principles and methodologies
Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, or GitHub Actions)
Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack)
Proven ability to work independently with minimal supervision
Percentage of Travel Required: Up to 10%
Desired: Experience with advanced AI and machine learning infrastructure requirements
Desired: Experience with commercial infrastructure solutions and best practices in enterprise environments
Desired: Experience with edge computing technologies and edge-related software deployments, including edge device management, data processing at the edge, and secure communication protocols
Benefits
Flexible time off benefit
Healthcare
Wellness programs
Financial benefits
Retirement
Family support
Continuing education and learning and development opportunities
Robust learning resources
Competitive compensation
Time off benefits
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AWSInfrastructure-as-CodeTerraformCloudFormationDockerKubernetesHelmCI/CDJenkinsGitLab CI
Top Secret ClearanceTS/SCI with PolygraphBachelor's degree in Computer ScienceBachelor's degree in Information TechnologyBachelor's degree in Electrical Engineering