4P Consulting Inc.
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr