Principal Cloud Computing Engineer
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Job Description
Principal Cloud Engineer building secure AWS and OCI infrastructure, data pipelines, and AI automation. Supporting SAIC’s regulated U.S. Government technology missions from design through production.
Responsibilities:
- Design, deploy, and migrate secure, highly available environments in AWS and OCI, including network, identity, compute, storage, database, and Kubernetes components
- Architect and deploy compliant enclaves meeting government security requirements, including SCCA, DoD cloud security, and FedRAMP
- Develop and maintain infrastructure as code and CI/CD pipelines for infrastructure, applications, and data workloads
- Design, build, and operate Python data pipelines that ingest, validate, transform, and publish data into cloud data stores
- Apply AI and LLM services, such as Amazon Bedrock, to automate operations and data work including incident triage, runbook generation, and pipeline classification
- Implement and maintain security controls including IAM, network segmentation, encryption, and secrets management
- Run vulnerability and configuration scans, including ACAS, and track findings to closure
- Monitor and tune performance, cost, and availability; diagnose and resolve complex issues with minimal downtime
- Maintain designs, diagrams, asset inventories, SOPs, and the knowledge base
- Train and assist users and teammates
- Work directly with customers and own delivery from design through production support
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, or a related field and 9 years of experience, or Master’s degree and 7 years of experience
- Security+ Certification
- Candidates must be U.S. Citizens
- Candidates must have an interim Secret clearance before starting and have the ability to get a Secret clearance
- Hands-on cloud engineering on AWS and/or OCI: compute, storage, virtual networking, load balancers, managed databases, and IAM
- Strong infrastructure as code skills; Terraform preferred
- Python proficiency for automation and data pipelines; Bash or PowerShell
- Experience building or operating data pipelines (batch, scheduled, or event-driven)
- CI/CD experience with GitLab, Jenkins, or similar
- Working knowledge of containers and Kubernetes
- Monitoring and logging experience, such as CloudWatch, OCI Monitoring, Prometheus, or Grafana
- Practical experience, or demonstrated ability, applying AI and LLM services to automation and data workflows
- Solid understanding of cloud security best practices
- Experience preparing technical documentation
- Strong problem-solving and communication skills; ability to work with senior customers, collaborate in a distributed team, and manage multiple priorities
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