Principal Cloud Computing Engineer

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Design, implement, and migrate secure, highly available environments in AWS and OCI, encompassing network, identity, compute, storage, database, and Kubernetes components.

• Architect and deploy compliant enclaves that fulfill government security standards, including SCCA, DoD cloud security, and FedRAMP.

• Develop and sustain infrastructure as code and CI/CD pipelines for infrastructure, applications, and data workloads.

• Design, construct, and manage Python data pipelines that ingest, validate, transform, and publish data into cloud data repositories.

• Leverage AI and LLM services, such as Amazon Bedrock, to automate operations and data tasks, including incident triage, runbook generation, and pipeline classification.

• Implement and uphold security controls, including IAM, network segmentation, encryption, and secrets management.

• Conduct vulnerability and configuration scans, including ACAS, and ensure findings are tracked to resolution.

• Monitor and optimize performance, cost, and availability; diagnose and resolve complex issues with minimal downtime.

• Maintain designs, diagrams, asset inventories, SOPs, and the knowledge base.

• Train and support users and teammates.

• Collaborate directly with customers and oversee delivery from design through production support.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field with 9 years of experience, or a Master’s degree with 7 years of experience.

• Security+ Certification.

• Candidates must be U.S. Citizens.

• Candidates must possess an interim Secret clearance prior to starting and be eligible to obtain a Secret clearance.

• Hands-on cloud engineering experience with AWS and/or OCI: compute, storage, virtual networking, load balancers, managed databases, and IAM.

• Strong skills in infrastructure as code; Terraform is preferred.

• Proficiency in Python for automation and data pipelines; familiarity with Bash or PowerShell.

• Experience in building or operating data pipelines (batch, scheduled, or event-driven).

• CI/CD experience with GitLab, Jenkins, or similar tools.

• Working knowledge of containers and Kubernetes.

• Experience with monitoring and logging tools, such as CloudWatch, OCI Monitoring, Prometheus, or Grafana.

• Practical experience or demonstrated capability in utilizing AI and LLM services for automation and data workflows.

• Strong understanding of cloud security best practices.

• Experience in preparing technical documentation.

• Excellent problem-solving and communication skills; ability to engage with senior customers, collaborate in a distributed team, and manage multiple priorities.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• 401(k) retirement plan with company matching.

• Opportunities for professional development and training.

• Flexible work environment and work-from-home options.