Cloud Comp Engr Principal

SAIC; Virginia; Remote; USD 120,000 - 160,000; Full time

Job summary

SAIC is seeking a Cloud Engineer to design, build, secure, and operate cloud infrastructure and data platforms for U.S. Government customers. You’ll work across AWS and OCI, with data pipelines and AI-enabled automation in a regulated, code-first environment.

The role supports remote work within the United States for the right candidate. You’ll join a senior team, own delivery from design to production support, and collaborate directly with customers in a compliant, secure setting.

Qualifications

• Bachelor’s degree in CS/IT or related field; 9 years’ exp; Master’s degree with 7 years’ exp.
• Security+ certification or equivalent security credentials.
• U.S. citizenship required.
• Interim Secret clearance required; ability to obtain Secret clearance.
• Hands‑on cloud engineering on AWS and OCI compute, storage, networking, IAM.
• Strong infrastructure as code skills; Terraform preferred.
• Python automation and data pipelines; Bash/PowerShell.
• Experience building/operating data pipelines (batch/event-driven).
• CI/CD experience (GitLab/Jenkins); containers & Kubernetes knowledge.
• Monitoring/logging experience; CloudWatch/OCI Monitoring, Prometheus, Grafana.
• Experience applying AI/LLM services to automation and data workflows.
• Solid cloud security practices and ability to document technically.
• Strong problem solving and communication; able to work with senior customers.

Responsibilities

• Design, deploy, and migrate secure, highly available AWS and OCI environments.
• Architect compliant enclaves meeting government security requirements.
• Develop and maintain infrastructure as code and CI/CD pipelines.
• Design, build, and operate Python data pipelines in cloud data stores.
• Apply AI/LLM services to automate operations and data workflows.
• Implement security controls; run vulnerability and config scans; track findings.
• Monitor, tune, and resolve performance, cost, and availability issues.
• Maintain designs, diagrams, assets, SOPs; train users and teammates.

Skills

Cloud engineering

Terraform

Python

CI/CD

Kubernetes

Monitoring

Communication

Problem solving

Education

Bachelor's degree

Master's degree

Tools

GitLab

Jenkins

CloudFormation

OCI Resource Manager

Ansible

S3

SQS/SNS

Job description

Job ID 2618150

Location Remote Work, VA, US

Date Posted 2026-10-19

Category Information Technology

Subcategory Cloud Comp Engr

Schedule Full-Time

Shift Day Job

Travel Yes - 10% of the time

Minimum Clearance Required Interim_Secret

Clearance Level Must Be Able to Obtain Secret

Potential for Remote Work ORA_REMOTE

SAIC is seeking a Cloud Engineer to design, build, secure, and operate cloud infrastructure and data platforms for U.S. Government customers. You will work across AWS and Oracle Cloud Infrastructure (OCI), from the secure cloud foundation, to the data pipelines that run on it, to the AI-enabled automation that makes both faster and safer to operate.

You will join a small, senior team in a regulated environment and work code-first infrastructure, pipelines, and deployments are defined in version control, reviewed, and repeatable. You will work directly with customers and own the delivery of your piece of the solution from design through production support. This role can be worked remotely within the United states for the right candidate.

Job Responsibilities

• Design, deploy, and migrate secure, highly available environments in AWS and OCI, including network, identity, compute, storage, database, and Kubernetes (EKS, OKE) components.
• Architect and deploy compliant enclaves that meet government security requirements (for example SCCA, DoD cloud security, FedRAMP).
• Develop and maintain infrastructure as code (Terraform, Ansible, CloudFormation, OCI Resource Manager) and CI/CD pipelines (GitLab, Jenkins) 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 (for example Kubernetes jobs, S3, SQS/SNS, Lambda, Step Functions) with built-in data quality, retries, and lineage.
• Apply AI and LLM services (for example Amazon Bedrock) to automate operations and data work, such as incident triage, runbook generation, and classification steps in pipelines, with the validation, human review, and auditability a regulated environment requires.
• Implement and maintain security controls (IAM, network segmentation, encryption, secrets management) and run regular vulnerability and configuration scans, including ACAS, tracking 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.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field and 9 years of experience. Masters and 7 Yyears 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 (GitLab, Jenkins, or similar) and working knowledge of containers and Kubernetes.
• Monitoring and logging experience (for example CloudWatch, OCI Monitoring, Prometheus, 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; able to work with senior customers, collaborate in a distributed team, and manage multiple priorities.

Target salary range $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.