SAIC is seeking a highly qualified Cloud Engineer to support the ABMS Digital Infrastructure Network Designer & Deployer program. This role involves designing and deploying cloud environments, developing automation pipelines, and collaborating with cross-functional teams to ensure secure and resilient network deployment.
Responsibilities:
- Developing automation pipelines
- Designing hybrid cloud environments
- Enabling secure data and network flows
- Supporting cross-domain solutions
- Acting as a trusted advisor
- Collaborating with cross-functional teams to align cloud computing objectives with project goals
- Mentoring engineering team members
- Providing oversight of cloud testing, monitoring, and incident response processes
Requirements:
- Masters Degree in Network Engineering, Cloud Engineering or related field + 8 years experience or Bachelors Degree Network Engineering, Cloud Engineering or related field + 10 years experience
- Expertise in cloud orchestration tools (e.g., AWS, Azure, Kubernetes), networking protocols, and zero-trust architectures is essential
- Strong communication skills and the ability to foster collaboration across technical teams
- U.S. citizenship and a current Top-Secret Clearance with SCI Eligibility
- Network &/or Security Operations Center experience and familiarity with the DoW's acquisition and test enterprise
- Experience with commercial class cloud and optical networks
- CompTIA Cloud+, AWS/Microsoft/Google Cloud/IBM/Cisco-specific cloud certifications
- Understanding of DOD Acquisition process
- SAFe Agilist
- Able to attain CSWF and IAT Level II Certifications (Security+)
- Demonstrated technical writing and briefing
- Understanding of hybrid cloud/local architectures
- Experience in modern source control (Git, BitBucket, etc.)
- Experience with Multi-Layer Security / Cross-Domain Solutions / NSA 'Raise the Bar'
- Experience with Continuous-ATOs / Risk Management Framework / Program Protection Plans
- Experience with Kubernetes / Containers / Docker
- Experience with Zero Trust Models