DevOps Engineer IV 4P/763

4P Consulting Inc.

Atlanta, GA, United States

26 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Application Performance Management Microsoft Azure Cloud Computing Cloud Computing Security Cloud Engineering Continuous Integration DevOps Identity and Access Management Python (Programming Language) Key Management Windows PowerShell

+18 more

Cloud Services AI Infrastructure Google Cloud Cloud Platform System Delivery Pipeline Infrastructure as Code (IaC) Containerization AI Platforms Kubernetes Infrastructure Automation Frameworks Information Technology Deployment Automation Bicep Machine Learning Operations Virtual Agents Terraform Docker Databricks

Job description

Southern Company Services is seeking a DevOps Engineer IV with 10+ years of experience to design, implement, and support enterprise cloud infrastructure, AI platforms, and DevOps automation. The ideal candidate will have expertise in Google Cloud Platform (GCP) (preferred), Azure, Infrastructure as Code (IaC), cloud security, CI/CD pipelines, AI infrastructure, and FinOps. This role will help build scalable, secure, and cost-efficient AI and cloud solutions while driving automation, governance, and operational excellence., · Design and implement cloud infrastructure using GCP, Azure, and Infrastructure as Code (Terraform/Bicep) .

· Develop and maintain CI/CD pipelines and automate cloud deployments.

· Deploy and manage containerized applications and cloud-native workloads.

· Implement cloud security, IAM, encryption, secrets management, and compliance controls.

· Build scalable AI infrastructure and integrate governance into deployment pipelines.

· Monitor AI models, cloud environments, and application performance.

· Drive FinOps initiatives, including cloud cost optimization and resource management.

· Design enterprise observability solutions for AI platforms and cloud infrastructure.

· Support AI/ML lifecycle management, monitoring, drift detection, and automated response.

· Develop and support agent-based AI systems and modern DevOps practices.

Requirements

· Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

· 10+ years of DevOps, Cloud Engineering, or Infrastructure Automation experience.

· Strong hands-on experience with GCP (preferred), Azure, or Databricks.

· Experience with Terraform, Bicep, Kubernetes, containers, and CI/CD pipelines.

· Strong scripting and automation skills.

· Experience implementing cloud security and governance best practices.

· Excellent troubleshooting, analytical, and communication skills.

Preferred Skills

Google Cloud Platform (GCP) * Azure * Databricks * Terraform * Bicep * Kubernetes * Docker * CI/CD * Infrastructure as Code (IaC) * DevOps * AI/ML * FinOps * IAM * Cloud Security * PowerShell * Python * LangChain * Agentic AI * Observability * Monitoring