Senior DevOps Engineer 4 4P/258

4P Consulting Inc.; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

4P Consulting Inc. is seeking a Senior DevOps Engineer for a key project supporting Southern Company. This role focuses on driving data governance and automation in Azure, requiring deep technical expertise and fostering collaboration across teams. You'll lead efforts to enhance infrastructure reliability, compliance, and performance in a dynamic, cloud-first environment.

Qualifications

• 10+ years of DevOps or IT engineering experience required.
• Deep understanding of Azure services and automation tools.
• Experience with ML/AI model deployment is a plus.

Responsibilities

• Design and maintain CI/CD pipelines using Azure.
• Implement monitoring solutions to optimize performance.
• Ensure security compliance and conduct vulnerability assessments.

Skills

Azure services

CI/CD pipelines

Containerization

Git-based version control

Performance engineering

Education

Bachelor’s degree in Computer Science

Tools

Terraform

Azure DevOps

Docker

Kubernetes

Job description

Senior DevOps Engineer – EDGE (Enterprise Decision Support & Data Governance)

Location: Atlanta, GA

Client- Southern Company

Contract- 1 Year

Position Overview:

We are seeking a Senior DevOps Engineer to support the Enterprise Decision Support and Data Governance (EDGE) initiative. This role is instrumental in implementing the Technology Organization’s (TO) Data Management and Analytics strategy. The engineer will enable agile, secure, and high-performing delivery pipelines and infrastructure that support data-driven applications and services. You will work closely with development, QA, security, and IT operations teams to ensure high availability, scalability, and efficiency across the platform.

Key Responsibilities:

1. Infrastructure Automation

• Design, build, and maintain automated CI/CD pipelines using Azure DevOps, TFS, or similar tools.

• Write and manage Infrastructure as Code (IaC) scripts (ARM, Bicep, Terraform) for resource provisioning and configuration in Azure.

• Automate provisioning of Azure Machine Learning environments, Azure Databricks, App Services, and Data Lake Storage resources.

2. Monitoring & Performance Optimization

• Implement monitoring solutions using Azure Monitor, Log Analytics, and Application Insights.

• Collaborate with development teams to fine-tune application performance and reduce operational bottlenecks.

3. Security & Compliance

• Enforce security best practices across environments, ensuring compliance with enterprise and regulatory standards.

• Conduct vulnerability assessments and collaborate with security teams for audit readiness.

4. Incident Response & Troubleshooting

• Participate in 24/7 on-call rotation for high-priority incidents.

• Perform root cause analysis and implement preventive solutions for critical infrastructure issues.

5. Collaboration & DevOps Advocacy

• Collaborate across functions (data engineers, infrastructure, architects, security) to support seamless integration of services.

• Champion DevOps culture and influence adoption of DevOps standards across EDGE projects.

Core Responsibilities:

• Provision and automate Azure ML, Databricks, App Services, and Data Lakes.

• Manage RBAC, managed identities, and network rules to ensure security compliance.

• Support web portal development in collaboration with the EDGE Business Team; lead portal UI/UX reimplementation per published design standards.

• Standardize deployment patterns and promote consistency across multiple data and infrastructure platforms.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.

• 10+ years of DevOps or IT engineering experience, preferably in cloud-first, enterprise environments.

• Deep understanding of Azure services, including ARM templates, Terraform, Azure CLI, PowerShell, and Python scripting.

• Solid background in CI/CD pipelines, web application deployment, and containerization (Docker, Kubernetes).

• Expertise in Git-based version control systems and DevOps orchestration.

• Familiarity with networking concepts, security architecture, and performance engineering.

• Experience with ML/AI model deployment is a plus.

Preferred Qualifications:

• Strong collaboration and stakeholder communication skills.

• Experience with data governance and data-driven platforms.

• Familiarity with developing and managing enterprise-grade web portals.

• Prior exposure to utility, energy, or regulated industries is beneficial.