Cloud Engineer

SAIC • Beavercreek, OH

23h • Remote

About The Position

SAIC is seeking a Cloud Engineer to design, build, secure, and operate cloud infrastructure and data platforms for U.S. Government customers. The role spans AWS and Oracle Cloud Infrastructure (OCI), including secure cloud foundations, data pipelines, and AI-enabled operational automation. The position may be remote anywhere in the United States for the right candidate.

The Cloud Engineer joins a small, senior team in a regulated environment and works code-first, with infrastructure, pipelines, and deployments version-controlled, reviewed, and repeatable. The engineer works directly with customers and owns delivery from design through production support.

Requirements

• IAT Level II certification or equivalent, or ability to obtain it within 30 days of the start date.
• Oracle Cloud Infrastructure Architect Associate certification, AWS Certified Solutions Architect – Associate certification, or an equivalent professional-level cloud certification.
• Interim Secret clearance to start, with the ability to obtain and maintain a Secret clearance.
• U.S. citizenship.
• Hands-on cloud engineering experience with AWS and/or OCI, including compute, storage, virtual networking, load balancers, managed databases, and IAM.
• Strong infrastructure as code skills; Terraform is preferred.
• Python proficiency for automation and data pipelines, and Bash or PowerShell skills.
• Experience building or operating batch, scheduled, or event-driven data pipelines.
• CI/CD experience with GitLab, Jenkins, or a similar tool, and working knowledge of containers and Kubernetes.
• Monitoring and logging experience, for example with 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 and 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.

Responsibilities

• Design, deploy, and migrate secure, highly available environments in AWS and OCI, including network, identity, compute, storage, database, and Kubernetes components such as EKS and OKE.
• Architect and deploy compliant enclaves that meet government security requirements, such as SCCA, DoD cloud security, and FedRAMP.
• Develop and maintain infrastructure as code using tools such as Terraform, Ansible, CloudFormation, and OCI Resource Manager, and CI/CD pipelines using GitLab, Jenkins, or similar tools for infrastructure, applications, and data workloads.
• Design, build, and operate Python data pipelines that ingest, validate, transform, and publish data into cloud data stores, using scheduled and event-driven services with data quality, retries, and lineage built in.
• Apply AI and LLM services, such as Amazon Bedrock, to automate operations and data work, including incident triage, runbook generation, and pipeline classification, while maintaining validation, human review, and auditability.
• Implement and maintain security controls, including IAM, network segmentation, encryption, and secrets management; perform regular 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.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed