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Part Time Azure Network Engineer Jobs in Atlanta, GA

Dark Wolf Solutions

DevOps Engineer

College Park, GA

$100K - $140K/yr

Experience developing and maintaining CI/CD pipelines on cloud platforms such as AWS, Azure, or GCP ... a part time remote option. On-site presence is expected 3 days per week with the option of 2 days ...

Booz Allen Hamilton, Inc.

Data Engineer

Atlanta, GA · On-site

$86K - $198K/yr

You Have: * 3+ years of experience with PySpark and SQL * 3+ years of experience with Azure ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

U.S. Navy

Engineering Duty Officer

Atlanta, GA · On-site

... network. Job responsibilities could include: * Conducting research on high-priority operational ... PART-TIME OPPORTUNITIES There are part-time roles as an Engineering Duty Officer in the Navy.

U.S. Navy

Engineering Duty Officer

Lawrenceville, GA · On-site

... network. Job responsibilities could include: * Conducting research on high-priority operational ... PART-TIME OPPORTUNITIES There are part-time roles as an Engineering Duty Officer in the Navy.

U.S. Navy

Engineering Duty Officer

Kennesaw, GA · On-site

... network. Job responsibilities could include: * Conducting research on high-priority operational ... PART-TIME OPPORTUNITIES There are part-time roles as an Engineering Duty Officer in the Navy.

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All JobsAzure Network Engineer JobsPart Time Azure Network Engineer JobsPart Time Azure Network Engineer Jobs in Atlanta, GA

Part Time Azure Network Engineer information

See Atlanta, GA salary details

$29.8K

$104.9K

$151.9K

How much do part time azure network engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for part time azure network engineer in Atlanta, GA is $104,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $128,400.00 per year, depending on experience, location, and employer.

How does a part time Azure Network Engineer typically collaborate with full time team members and manage project hand offs?

As a part-time Azure Network Engineer, you'll often work closely with full-time engineers, cloud architects, and security teams to ensure seamless network operations. Effective communication and detailed documentation are essential, as you'll need to coordinate hand-offs and updates during shift changes or project transitions. Tools like Azure DevOps, Teams, and shared ticketing systems help maintain alignment and track progress. Regular check-ins and clear reporting help ensure that part-time contributions integrate smoothly with ongoing, full-time initiatives.

What are the key skills and qualifications needed to thrive as a part time Azure Network Engineer?

To thrive as a Part Time Azure Network Engineer, you need a solid background in networking principles, cloud infrastructure, and experience with Microsoft Azure, often validated by certifications like Azure Network Engineer Associate. Familiarity with tools such as Azure Portal, PowerShell, Azure CLI, and network monitoring systems is typically required. Strong problem-solving, communication, and time management skills help you excel in a part-time and often remote environment. These skills ensure efficient deployment, maintenance, and troubleshooting of cloud networks while supporting business continuity and security.

What is the difference between Part Time Azure Network Engineer vs Part Time Cloud Network Specialist?

AspectPart Time Azure Network EngineerPart Time Cloud Network Specialist
CertificationsAzure certifications (e.g., AZ-700)Cloud networking certifications (e.g., CCNP Cloud)
Work EnvironmentAzure cloud platforms, hybrid environmentsMultiple cloud providers, hybrid/cloud environments
Industry UsageOrganizations using Azure infrastructureOrganizations using various cloud services
Job FocusAzure-specific network design and managementBroader cloud network architecture across platforms

Part Time Azure Network Engineers focus on managing and optimizing networks within the Azure cloud environment, often requiring Azure-specific certifications. In contrast, Part Time Cloud Network Specialists work across multiple cloud platforms, handling diverse network architectures. The choice depends on whether the employer's infrastructure is primarily Azure-based or involves multiple cloud services.

What is a part time Azure Network Engineer?

A Part Time Azure Network Engineer is an IT professional who works on a flexible or reduced-hour schedule and specializes in designing, implementing, and managing network solutions within Microsoft Azure cloud environments. Their responsibilities often include configuring virtual networks, managing network security, troubleshooting connectivity issues, and ensuring optimal performance for cloud-based applications. These engineers typically work for organizations that require Azure expertise but do not need a full-time employee, allowing for project-based or ongoing support as needed.

What are the most commonly searched types of Azure Network Engineer jobs in Atlanta, GA?

The most popular types of Azure Network Engineer jobs in Atlanta, GA are:

What are popular job titles related to Part Time Azure Network Engineer jobs in Atlanta, GA?

For Part Time Azure Network Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Part Time Azure Network Engineer jobs in Atlanta, GA look for?

The top searched job categories for Part Time Azure Network Engineer jobs in Atlanta, GA are:

Part Time Azure Network Engineer jobs near you
Infographic showing various Part Time Azure Network Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $104,859 per year, or $50.4 per hour.

Senior Staff DevOps Engineer - Data Discovery & AI Governance

OneTrust

Atlanta, GA

$125K - $160K/yr

Part-time

Posted 10 days ago

Job description

The Mission

OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI-Ready Governance Platform, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

The Challenge

We are hiring a Senior Staff DevOps Engineer to join our Detect & Discover (D&D) team. This team owns three product lines - Data Discovery, Privacy Automation, and AI Governance - serving thousands of enterprise customers across multi-cloud and on-premises environments.

In this role, you will lead the infrastructure strategy for our Kubernetes-based on-premises platform and cloud deployments. This includes architecting automated worker node deployments for Azure Marketplace, AWS Marketplace, and GCP; driving container-hardening initiatives to systematically eliminate CVEs; and ensuring the reliability, scalability, and security of our distributed scanning and classification platform. You will act as a technical leader, mentoring engineers and collaborating closely with product security, engineering squads, and customer-facing teams.

Your Mission
  • Kubernetes Platform Architecture: Architect and maintain production-grade Kubernetes platforms across cloud (AKS, EKS, GKE) and on-premises (K3s, microk8s) environments. Own the full lifecycle - cluster provisioning, upgrades, node pool management, and disaster recovery.
  • Deployment Automation & Marketplace Publishing: Develop and maintain automation using Helm, ARM templates, BICEP, Terraform, and CloudFormation to streamline worker node provisioning on Azure Marketplace, AWS Marketplace, and Reduce customer setup complexity so clients don't need advanced Kubernetes expertise on-site.
  • Container Hardening & Vulnerability Management: Lead our container-hardening program by adopting secure base images for distributed components including Kafka, PostgreSQL, Elasticsearch, Temporal and Vault. Own the systematic reduction of CVEs flagged by Vulnerability Scanners.
  • CI/CD & Release Engineering: Maintain and improve CI/CD pipelines ensuring zero-downtime deployments, automated rollbacks, and full auditability. Drive GitOps practices, Improve DevEx and infrastructure-as-code across the team.
  • Observability & Platform Reliability: Design monitoring, alerting, diagnostics, and self-healing capabilities using Datadog, Loki, Promtail. Ensure the platform is optimized for performance, logarithmic cost growth, and high-throughput scaling across thousands of tenant environments.
  • Incident Response & Production Support: Lead incident investigations, root cause analysis, and long-term remediation for production service interruptions. Participate in on-call rotation and drive systemic fixes to prevent recurrence.
  • Mentorship & Technical Leadership: Mentor engineers, drive DevOps best practices across teams, and raise the technical bar for infrastructure engineering quality.
You Are
  • A hands-on technical leader with strong analytical and problem-solving skills and a passion for high-quality infrastructure engineering.
  • Technically curious and self-motivated, able to self-teach new technologies and prioritize complex tasks in a fast-paced environment.
  • A collaborative partner who works seamlessly with security teams, software developers, and product managers to drive alignment on infrastructure standards.
  • Someone who thrives in ambiguous environments, takes ownership of complex technical challenges, and influences across teams without direct authority.
  • An encouraging mentor who enjoys upskilling engineers and continuously improving reliability, automation, and customer experience.
Your Experience Includes
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Experience: 8+ years in DevOps, SRE, or Platform Engineering roles.
  • Container Orchestration: Expert knowledge of Kubernetes, Helm, Linux, Docker, and networking
  • Multi-Cloud Platforms: Strong working knowledge of Azure, AWS, and GCP, with specific depth in at least one.
  • Automation & Scripting: Proficiency in Go and/or Python, plus Bash/Shell scripting for infrastructure automation and integrations.
  • CI/CD & GitOps: Deep understanding of CI/CD pipelines (GitLab or similar), GitOps workflows, and infrastructure-as-code methodologies.
  • Databases & Messaging: Experience with PostgreSQL, Elasticsearch, and distributed messaging systems (Apache Kafka, NATS).
  • Security & Compliance: Experience with security scanning, container image hardening, and vulnerability remediation in enterprise environments.
  • Production Operations: Experience supporting enterprise production environments and handling customer escalations.
  • Methodologies: Prior experience working in Agile/Scrum enterprise software development.
  • Communication: Excellent verbal and written communication and technical leadership skills.
Extra Awesome
  • Experience building and publishing B2B enterprise software on Azure Marketplace, AWS Marketplace, or GCP Marketplace.
  • Proven experience with Chainguard or other minimal, hardened container distributions for software supply chain security.
  • Experience with on-premises enterprise software deployments (K3s, microk8s, airgapped environments).
  • Familiarity with Temporal workflow orchestration or similar durable execution frameworks.
  • Prior exposure to MLOps methodologies, including model versioning, pipeline auditability, and AI asset discovery.
  • Experience with service meshes, Kubernetes operators, and AI-assisted operations.

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