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Remote Cloud Computing Jobs in Georgia (NOW HIRING)

Cloud Architect - GCP

Atlanta, GA · On-site +1

$62.50 - $79.50/hr

Experience with serverless computing and microservices architecture. * Strong understanding of ... Flexible work environment and remote work options. Join us and be part of a team building ...

Site Reliability Engineer - SRE

Atlanta, GA · On-site +1

$54.25 - $72/hr

Remote Possible, however candidates will move to work onsite/Hybrid eventually. Please make sure ... Experience in a cloud computing platform and the associated automation patterns it provides ...

... cloud computing, Redis/Resque, JSON and other queueing systems to integrate our applications with ... Ability to work both independently and with a team, with remote development teams (international)

... cloud computing, Redis/Resque, JSON and other queueing systems to integrate our applications with ... Ability to work both independently and with a team, with remote development teams (international)

Contracts Manager

Atlanta, GA · Remote

$85K - $114K/yr

... cloud computing, software development, and revenue recognition. * Expertise in artificial ... Employee Resource Groups EEO/VEVRAA #LI-Remote #li-KB1

Experience using remote desktop takeover tools like Bomgar, Zoom, or WebEx for technical support ... Cloud Computing, Azure, AWS, Crystal Reports, Database Performance Tuning, Technical Support ...

Production Support Engineer

Atlanta, GA · On-site +1

$40.50 - $52.75/hr

... remote Job Summary: We are seeking a dedicated and detail-oriented Production Support Analyst ... Preferred Skills: · Experience with cloud computing platforms (e.g., AWS, Azure, GCP) · ...

Lead Site Reliability Engineer

Atlanta, GA · Remote

$54.75 - $72.75/hr

We have always been a "remote first" company and are proud to have team members located all over ... Expertise in Cloud Computing (AWS/GCP) and Infrastructure as Code (Terraform/Ansible). * Strong ...

Enterprise Architect

Atlanta, GA · Remote

$140K - $170K/yr

... cloud computing, cloud-native, application development, and middleware. * Proven Azure or AWS ... Pay Range - Remote - US $140,000--$170,000 USD Who We Are MSQ DX, formerly Arke, is a full-service ...

Global Sec Assurance Consult

Columbus, GA · On-site +1

$108K - $135K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Knowledge of cloud computing technologies and security best practices Education & Experience ...

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Remote Cloud Computing information

See Georgia salary details

$9

$52

$71

How much do remote cloud computing jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote cloud computing in Georgia is $52.11, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $62.50 per hour, depending on experience, location, and employer.

How to make $100,000 a year working from home?

Remote cloud computing professionals can earn $100,000 or more annually by gaining advanced certifications like AWS Certified Solutions Architect or Google Cloud Professional Engineer, developing specialized skills in cloud architecture, and gaining experience through multiple projects. Building a strong portfolio, continuously updating skills, and working for high-paying clients or companies can also increase earning potential while working remotely.

What are some common challenges faced by professionals working in remote cloud computing roles, and how can they be addressed?

Remote cloud computing professionals often encounter challenges related to communication, collaboration across time zones, and ensuring robust security practices when accessing sensitive data remotely. To address these issues, it's important to establish clear communication channels, use collaborative tools like Slack or Microsoft Teams, and follow company security protocols such as VPN usage and multi-factor authentication. Regular check-ins with your team and continuous learning about emerging cloud security trends can also help maintain productivity and safeguard data in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Cloud Computing professional, and why are they important?

To thrive as a Remote Cloud Computing professional, you need a strong background in IT infrastructure, cloud architecture, and virtualization, typically supported by a degree in computer science or a related field. Familiarity with major cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator, is highly valuable. Excellent problem-solving, communication, and self-management skills help you effectively collaborate and troubleshoot in a distributed work environment. These skills ensure secure, scalable, and efficient cloud solutions that meet organizational needs, especially when working remotely.

What is remote cloud computing?

Remote cloud computing refers to the delivery of computing services—such as servers, storage, databases, networking, software, and analytics—over the internet instead of using local servers or personal devices. Professionals in this field work from remote locations and help businesses manage, deploy, and maintain cloud-based infrastructure and services. This allows companies to scale resources, improve collaboration, and reduce IT costs while enabling employees to work from anywhere with an internet connection.

Is 28 too late for cloud or cybersecurity?

Age is not a barrier to entering cloud computing or cybersecurity careers. Many professionals start in these fields in their late 20s or later, and acquiring relevant skills, certifications, such as AWS or CompTIA Security+, can help facilitate entry regardless of age.

Can you do cloud computing remotely?

Remote cloud computing jobs are common, allowing professionals to manage and deploy cloud infrastructure from anywhere with internet access. These roles often require familiarity with cloud platforms like AWS, Azure, or Google Cloud, and may involve remote collaboration tools. Many employers offer flexible or fully remote positions for cloud engineers and administrators.

What is the difference between Remote Cloud Computing vs Remote Cloud Support Specialist?

AspectRemote Cloud ComputingRemote Cloud Support Specialist
Required CredentialsCloud certifications (AWS, Azure, GCP), technical degreesCloud certifications, technical knowledge, customer service skills
Work EnvironmentDesigning, deploying, managing cloud infrastructureProviding technical support, troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT support firms, cloud service providers, enterprise IT teams
Common Search & Comparison IntentUnderstanding cloud roles, career paths in cloud computingSupport roles, troubleshooting cloud problems, customer assistance

Remote Cloud Computing involves designing and managing cloud infrastructure, requiring technical certifications and a focus on deployment. In contrast, Remote Cloud Support Specialists focus on troubleshooting and assisting users with cloud issues, emphasizing customer service skills. Both roles are integral to cloud services but differ in responsibilities and skill sets.

Will AI replace cloud computing jobs?

AI is unlikely to fully replace cloud computing jobs, as roles in cloud architecture, management, and security require human expertise and problem-solving skills. Instead, AI tools are expected to augment these roles, making tasks more efficient and enabling professionals to focus on complex issues. Cloud computing professionals should develop skills in automation, scripting, and AI integration to stay relevant.
What are the most commonly searched types of Cloud Computing jobs in Georgia? The most popular types of Cloud Computing jobs in Georgia are:
What job categories do people searching Remote Cloud Computing jobs in Georgia look for? The top searched job categories for Remote Cloud Computing jobs in Georgia are:
What cities in Georgia are hiring for Remote Cloud Computing jobs? Cities in Georgia with the most Remote Cloud Computing job openings:
Infographic showing various Remote Cloud Computing job openings in Georgia as of June 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $108,389 per year, or $52.1 per hour.
Senior Cloud Architect Lead with AI Cloud

Senior Cloud Architect Lead with AI Cloud

Science Applications International Corporation

GA • On-site, Remote

$61.75 - $78.75/hr

Full-time

Posted 6 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services


Job description

Job Description
SAIC is seeking Senior Cloud Architect with AI Cloud. Make a difference for national security by joining a team of dedicated IT professionals who will sustain, modernize and transform the enterprise IT capabilities for the Defense Counterintelligence and Security Agency (DCSA). The Air Force, Space & Intel Business Group (AFSI) of SAIC is seeking a Senior Cloud Architect Lead to support a transformational infrastructure program for DCSA.
SAIC is proud to be supporting DCSA in safeguarding our nation's information. DCSA is the designated oversight authority on the accreditation of classified facilities, information systems, and the insider threat program. This involves security oversight of more than 10,000 companies and approximately 13,000 facilities involved in classified work throughout the DoD and 31 Federal agencies.
Specifically, on the DCSA One IT program, SAIC will provide an enterprise IT solution that delivers highly secure and adaptable IT infrastructure, provide customer support, and cutting-edge technologies that support operations and advance the DCSA mission under a single IT environment (i.e., One IT).
This position is remote with limited travel.
Description
  • Serve as a cloud architecture leader, providing guidance and mentorship to team members, while supporting a DoD mission program. Design and deliver secure, compliant workloads within a platform-managed hub-and-spoke environment across AWS GovCloud and Azure Government, integrating advancements in AI Cloud capabilities for enhanced mission impact.
  • Architect and deliver secure, scalable AWS-centric solutions (with multi-cloud fluency across Azure Government/GCP) as a spoke workload team operating inside a platform-managed hub-and-spoke environment.
  • Be well-versed in platform management constructs (network hub, identity, operations, DevOps, shared services) to facilitate design discussions and articulate workload requirements to platform owners/providers for both traditional cloud services and emerging AI-enabled services.
  • Operate as a liaison between mission teams, leadership, and platform providers. Ensure workload strategies, including AI/ML-related initiatives, align with programmatic, operational, and compliance goals.
  • Translate complex requirements, including both traditional infrastructure needs and innovative AI-based workloads, into practical architectures while balancing compliance with DoD operational constraints (Cloud Computing SRG impact levels, RMF/ATO, DISA STIGs).

Key Responsibilities
  • Leadership & Team Management
    • Mentor and manage team members involved in workload architecture and cloud deployment to ensure technical proficiency, adherence to compliance requirements, and timely delivery of mission objectives.
    • Foster a collaborative team environment, driving alignment on priorities and ensuring clear communication.
    • Act as the primary technical point of contact for workload-related activities, providing direction to the team while coordinating with external stakeholders, including platform owners, vendor teams, and mission partners.
  • Requirements & Coordination with Platform Providers
    • Define and communicate workload requirements for routing, firewall/inspection, DNS, identity trust, logging/telemetry, secrets, and egress, and AI infrastructure, packaged as intake/change requests to the platform team with clear technical specifications and risk/treatment rationales.
    • Manage cross-functional teams and discussions, ensuring alignment between workload needs and platform provisioning. Clarify roles and responsibilities for components like TGW attachments, VPCs, AI inference endpoints, and secured data pipelines supporting AI workflows.
  • Architecture & Delivery (Spoke Workloads)
    • Drive the creation of workload reference architectures and IaC templates (Terraform/CloudFormation/Bicep/CDK) while expanding these assets to support AI/ML pipelines (training, inference, monitoring) under RL and mission compliance guardrails.
    • Lead the team in Implementing secure network zoning and service exposure (PrivateLink/VPC endpoints, ALB/NLB, WAF) ensuring both traditional and AI-based services.
    • Design end-to-end AI/ML solutions by incorporating CI/CD pipelines with security/compliance gates, model versioning, artifact storage policies, and data lineage tracing that comply with RMF and logging/monitoring requirements (CloudTrail/Config/Security Hub, Azure Log Analytics/Sentinel).
  • DoD Compliance & Security Engineering (Within Workload Scope)
    • Map workload data and mission needs to SRG IL2-IL6 and engineer control implementations that leverage platform inheritance where available; drive RMF documentation, STIG hardening/SCAP automation, and ATO/IATT artifacts for the workload.
    • Provide team guidance on applying Zero Trust principles, including identity-centric access, micro-segmentation, and DevSecOps, ensuring alignment with DoD mission cloud practices.
  • Vendor/ISV Collaboration & Technical Assessments
    • Lead collaboration efforts with external vendors and industry solution providers to evaluate AI Cloud/COTS/ISV solutions for mission-specific use cases while ensuring DoD compliance.
    • Facilitate engineering design reviews, ensuring the ability to document trade-offs, residual risks, and mitigation plans in alignment with DoD guidelines.
  • Reliability, Resilience & Cost Management
    • Define and manage workload resilience strategies, including Multi-AZ/Region configurations, backups, and failover mechanisms within impact level boundaries; document DR strategies and exercise runbooks compatible with platform-managed services.
    • Guide team members in implementing and monitoring FinOps practices for cost optimization in managing both cloud compute resources and AI/ML workloads (e.g., cost-efficiency of training jobs, instance rightsizing, serverless inference optimization).

Qualifications
10+ years in cloud architecture/engineering with deep hands-on AWS experience; proven delivery of secure workloads in AWS GovCloud (US) and/or Azure Government supporting DoD missions within a platform-managed hub-and-spoke environment.
  • Government program experience and proven team leadership skills, including managing, mentoring, and guiding technical teams toward achieving project and operational goals.
  • Demonstrated ability to translate system requirements into technical solutions and to negotiate workload needs with platform owners/providers (networking, identity, security, logging/monitoring, DevOps).
  • Strong grasp of DoD SRG, RMF (NIST SP 800-53/53B), DISA STIGs, ATO/IATT processes, and continuous monitoring/POA&M practices; experience leading teams in the implementation of these practices into workload designs.

Certifications (Required)
  • CompTIA Security+ (CE).
  • At least one Professional/Expert-level cloud certification (Associate/Foundation does not meet the requirement):
  • AWS Certified Solutions Architect - Professional (preferred), AWS DevOps Engineer - Professional, or another AWS Professional.
  • Microsoft Certified: Azure Solutions Architect Expert.
  • Google Professional Cloud Architect.
  • Relevant specialty certs (e.g., Advanced Networking, Security) are a plus when paired with a Professional/Expert certification.

Preferred Skills & Tools
  • Leadership Skills: Experience managing teams, driving cross-functional collaboration, and mentoring junior members to grow technical, compliance, and operational expertise.
  • AI & ML Integration: Experience with deploying AI/ML pipelines using SageMaker, TensorFlow, MLflow, Kubernetes (for serving/training ML models), or equivalents on AWS, Azure ML, or GCP Vertex AI.
  • IaC & automation: Terraform, CloudFormation, CDK, Bicep; configuration as code (Ansible/PowerShell/Bash).
  • CI/CD: GitLab/GitHub Actions/Azure DevOps with policy gates and security scanning aligned to platform controls.
  • Networking: Transit Gateway, VPC/VNet segmentation, PrivateLink/VPC endpoints, firewall policies; ability to specify correct TGW attachment parameters and route associations while respecting platform ownership.
  • Security services & monitoring: AWS Security Hub/GuardDuty/Config/KMS, Azure Sentinel/Defender; integration to centralized logging/telemetry required by the platform.
  • Documentation & compliance: Author SSP sections, control inheritance matrices, STIG baselines, and continuous monitoring playbooks for workloads.

Education/Clearance Requirements:
  • Bachelor's degree with 10+ years of hands-on and leadership experience as a Cloud Architect specializing in AWS, Azure, and/or AI Cloud solutions; master's degree with 7+ years of experience.
  • Ability to obtain DoD 8570 certification if not already held.
  • US Citizenship required.
  • Currently holding an active Top Secret Security Clearance.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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