Bachelor's degree in Computer Science, IT, or related field with 9 years of experience; Master's degree with 7 years.
Security+ Certification required.
U.S. Citizenship is mandatory.
Must have interim Secret clearance and ability to obtain a Secret clearance.
Hands-on experience with AWS and/or OCI cloud services.
Proficient in infrastructure as code, preferably Terraform.
Strong Python skills for automation and data pipelines.
Responsibilities
Design, deploy, and migrate secure environments in AWS and OCI.
Architect compliant enclaves meeting government security standards.
Develop and maintain infrastructure as code and CI/CD pipelines.
Build and operate Python data pipelines for cloud data stores.
Apply AI and LLM services for automation in regulated environments.
Implement security controls and conduct vulnerability scans.
Monitor performance, cost, and availability, resolving complex issues.
Benefits
Remote work option available within the U.S.
Opportunity to work with a senior team in a regulated environment.
Engagement with U.S. Government customers.
Focus on cutting-edge technologies like AI and cloud infrastructure.
Hands-on experience with both AWS and OCI platforms.
Full Job Description
Job Description
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.
About SAIC
Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
