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Senior Google Cloud Computing Engineer

Salary undisclosed

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Job ID: 2412053

Location: REMOTE WORK, AL, US

Date Posted: 2024-09-20

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: No

Description

SAIC is seeking a Senior Google Cloud Computing Engineer with an active Interim Secret clearance. This candidate will be part of a team responsible for the architecture design, planning, management, support, and oversight of the Cloud One Google Cloud Platform environments. The ideal candidate will have a strong background in Google Cloud Platform (Google Cloud Platform) and will play a crucial role in supporting and enhancing our Cloud One infrastructure. This role involves working with various Google Cloud Platform services, implementing best practices, and ensuring the scalability and reliability of our cloud solutions.

The candidate will be supporting the Cloud One Common Computing Environment (CCE) program under the Air Force Lifecycle Management Center Office for Network Integration (AFLCMC/HNI). Cloud One is an existing global, interconnected, virtualized, hybrid, and IT infrastructure hosting mission systems, applications, services, and data that will serve the U.S. Air Force (USAF). Cloud One incorporates the capabilities of commercial cloud and Managed Service Providers (MSP) residing in Cloud Service Providers (CSPs). Cloud One facilitates the USAF and USA's efforts to migrate applications to a cloud environment, allowing the closure of data centers to support the Data Center Optimization Initiative (DCOI) and allowing for increased efficiency across the entire spectrum of the USAF and USA's IT operations.

This position is 100% remote.

Job Responsibilities:
  • Design, implement, and maintain scalable and secure Google Cloud Platform infrastructure solutions.
  • Ensure the reliability and availability of Google Cloud Platform services in the Cloud One environment.
  • Provide support for Cloud One implementations, including configuration, troubleshooting, and optimization.
  • Develop and manage Infrastructure as Code (IaC) scripts using tools like Terraform, Ansible, Terragrunt or similar.
  • Automate deployment, configuration, and scaling of Google Cloud Platform resources.
  • Implement monitoring and logging solutions to ensure the health and performance of Google Cloud Platform resources.
  • Respond to and resolve incidents related to the Google Cloud Platform infrastructure and Cloud One services.
  • Provide regular reports and updates on system performance, incidents, and improvements.
  • Work closely with development, operations, and security teams to ensure seamless integration of Google Cloud Platform solutions.
  • Create and maintain documentation for Google Cloud Platform architectures, processes, and procedures.
  • Configure and troubleshoot cloud systems.
  • Implement, configure, and maintain Assured Compliance Assessment Solution (ACAS) by Tennable for C1 environments.
  • Collaborate with cross-functional teams to ensure ACAS deployment aligns with organizational standards and requirements.
  • Troubleshoot and resolve ACAS-related issues efficiently.

Qualifications

Required Education and Experience:
  • Bachelors and five (5) years experience; Masters and three (3) years experience.
  • Degree in Computer Science, Information Technology, or a related field
  • Additional years of experience may be substituted in lieu of degree

Required Clearance:
  • Interim Secret clearance required to start; Ability to obtain a Secret clearance required to maintain employment
  • ship required

Required Certification:
  • Security+ Certification or equivalent DoD 8570.01-M IAT Level II Certification or higher
  • Google Cloud Certified - Associate Cloud Engineer

Required Skills:
  • Experience with Terraform or Deployment Manager automating tools
  • Experience with Configuration Management tools like Ansible, Puppet, or Chef
  • Proficiency with virtual machines and managing computer resources
  • Experience with deploying and managing containerized applications using Kubernetes
  • Expertise in working with BigQuery for data analysis and large-scale data processing
  • Familiarity with managed database services like Cloud SQL (for relational databases) and Firestore (NoSQL databases)
  • Experience with Google Load Balancing Solutions and/or Nginx
  • Proficiency in scripting languages such as Python, Bash, or PowerShell
  • Experience with Google Cloud's monitoring, logging, and error reporting tools
  • In-depth understanding of and experience as a cloud engineer with Networking, VPNs, IaaS, PaaS, SQL, storage, Active Directory, F5, Barracuda

Desired Skills:
  • Experience supporting USAF or other Government DoD related software development projects
  • Experience with other cloud platforms (e.g. AWS, Azure, OCI)
  • Understanding of VPC networks, subnets, firewalls, and routing
  • Experience with Containerization (e.g. Docker, Kubernetes)
  • Previous experience deploying secure systems to the cloud in a highly regulated environment
  • Experience with Agile, Scrum, SAFe or other modern software development methods/practices
  • Experience with creating, delegating, and prioritizing tickets within an IT ticketing system, such as ServiceNow or Jira

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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