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Company: SAIC
Location: REMOTE WORK, HI
Career Level: Director
Industries: Technology, Software, IT, Electronics

Description

Description

SAIC is seeking a Chief Cloud Computing Engineer to support the Navy's mission-critical initiative to achieve seamless, distributed maritime operations. This role focuses on designing, deploying, and optimizing secure, scalable cloud infrastructure that enables data-driven decision-making and continuous delivery of mission-critical capabilities across domains. You will work closely with Navy stakeholders, software teams, and cybersecurity personnel to integrate modern cloud-native technologies that support resilient operations across land, sea, air, space, and cyber environments. This is a remote role that will require travel between California and Hawaii. 

JOB DUTIES:

  • Design and deploy secure, scalable, and resilient cloud architecture (primarily AWS and Azure) to support Department of Defense (DoD) mission systems.
  • Develop Infrastructure-as-Code (IaC) solutions using tools like Terraform, CloudFormation, or Ansible.
  • Configure and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines for automated build, test, and deployment processes.
  • Implement monitoring, alerting, and observability tools to ensure system reliability and performance.
  • Enforce cloud security best practices, including role-based access control, encryption, and compliance with DoD Risk Management Framework (RMF) and Security Technical Implementation Guides (STIGs).
  • Support containerized application deployment using Kubernetes, Docker, and orchestration platforms (e.g., OpenShift, Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS)).
  • Collaborate with cross-functional teams to troubleshoot cloud infrastructure and support mission-driven development environments.
  • Write and maintain documentation including architecture diagrams, user guides, and system configurations.

Qualifications

REQUIREMENTS:

  • Bachelors Degree and eighteen (18) years or more experience; Masters and sixteen (16) years or more experience.
  • 8+ years of hands-on experience engineering solutions in cloud environments (AWS, Azure, or Google Cloud Platform (GCP)).
  • 5+ years of hands-on Red Hat Enterprise Linux (RHEL) administration, including secure configuration, patch management, PKI, system hardening, and integration with cloud platforms (AWS, Azure, or GCP).
  • Must be a U.S. Citizen.
  • Must have an Active Secret Clearance to start.
  • Must be able to obtain a Top Secret clearance after start.
  • Strong understanding of cloud security, networking, and identity and access management (IAM).
  • Proficiency in scripting and automation using Python, Bash, PowerShell, or similar languages.
  • Experience with GitOps and DevSecOps tools and methodologies (e.g., Argo CD, Flux, Terraform, Tekton, Jenkins, GitLab CI/CD).
  • Experience with cloud-native services such as Elastic Load Balancers (ELBs), Application Load Balancers (ALBs), Route 53, EC2, S3, IAM, Lambda, VPC, Azure Functions, Secrets Manager, etc.
  • Familiarity with container orchestration platforms and container security best practices.
  • Ability to work in Agile environments and collaborate across disciplines in fast-paced teams.

DESIRED SKILLS:

  • Cloud certifications (e.g., AWS, Azure, or Kubernetes) preferred.
  • Relevant certifications (Security+, Network+, or SATCOM industry certifications) are a plus.
  • Experience supporting DoD or other federal cloud migrations or deployments.
  • Knowledge of DoD compliance frameworks (e.g., Impact Level 5/6 (IL5/6), RMF, Federal Risk and Authorization Management Program (FedRAMP)).
  • 2Experience with OpenShift or hybrid edge/cloud environments.
  • Certifications such as AWS Certified Solutions Architect, Red Hat Certified OpenShift Administrator, Azure Administrator, Red Hat OpenShift (EX280), or Certified Kubernetes Administrator (CKA).
  • Familiarity with observability tools like Prometheus, Zabbix, Grafana, Amazon CloudWatch, or Azure Monitor.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


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