Chief sustainability officer serp_jobs.h1.location_city

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 :

DESIRED SKILLS :

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