6 Terraform jobs in the United Arab Emirates

We are seeking a highly skilled DevOps Engineer to join our cloud and AI engineering team. This is a leadership role that requires strong technical expertise in designing, implementing, and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.

• Develop and maintain Infrastructure-as-Code using Terraform to ensure cloud infrastructure is optimized, secure, and monitored effectively.
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters.
• Collaborate with data science teams to support ML model deployment and operationalization.
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow).

The ideal candidate will have 8 to 12 years of experience in DevOps and/or MLOps roles, proficient in CI/CD tools, and strong expertise in Terraform and Kubernetes.

• CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Terraform: design, implement, and manage infrastructure
• Kubernetes: manage and scale container orchestration environments
• Containerization technologies: Docker
• Cloud networking, security best practices, and observability

• Strong understanding of microservices architecture
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP
• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines

Job Title: Lead DevOps Engineer (Azure, Terraform)

The NorthBay cloud and AI engineering team is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing team.

• Design, Implement, and Manage CI/CD Pipelines
• Develop and Maintain Infrastructure-as-Code using Terraform
• Manage and Scale Container Orchestration Environments using Kubernetes
• Ensure Cloud Infrastructure is Optimized, Secure, and Monitored Effectively
• Collaborate with Data Science Teams to Support ML Model Deployment and Operationalization
• Implement MLOps Best Practices

Key Responsibilities:

1. Design and implement CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps
2. Develop and maintain infrastructure-as-code using Terraform
3. Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
4. Ensure cloud infrastructure is optimized, secure, and monitored effectively
5. Collaborate with data science teams to support ML model deployment and operationalization
6. Implement MLOps best practices, including model versioning, deployment strategies, monitoring, and experiment tracking

Requirements:

• 8 to 12 years of experience in DevOps and/or MLOps roles
• Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Strong expertise in Terraform, including managing and scaling infrastructure across large environments
• Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
• Strong understanding of containerization technologies (Docker) and microservices architecture
• Solid grasp of cloud networking, security best practices, and observability
• Scripting proficiency in Bash and Python

Preferred Skills:

• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
• Knowledge of model performance monitoring and ML system reliability
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

The Information Systems team is responsible for maintaining all production services. This includes running services used by over 60 million users.

We're looking for an SRE & Gitops engineer to drive operations automation forward, both in private clouds and public clouds.

We foster growth through collaboration, innovation, and excellence. Our success is driven by the success of our team members.

A Cloud Infrastructure Automation Specialist designs and implements infrastructure automation solutions to support AI application development, testing, and deployment.

• 5-8 years of experience in DevOps or infrastructure engineering with a focus on ML or data platforms
• Strong expertise in CI/CD tools and cloud platforms
• Proficiency in infrastructure-as-code tools and scripting languages
• Expertise in containerization and orchestration technologies
• Knowledge of system monitoring, logging, and incident response workflows
• Bachelor's degree in Computer Science, Engineering, or related field required

As a Cloud Infrastructure Automation Specialist, you will have the opportunity to work with a talented team of professionals who are passionate about delivering innovative solutions.

The ideal candidate will have a strong understanding of cloud infrastructure and automation principles, as well as excellent communication and collaboration skills.

At the forefront of technological innovation, we seek a seasoned expert in cloud-based system management and automation. The ideal candidate will possess a deep understanding of cloud architecture and be proficient in deploying, managing, and scaling cloud-based systems to ensure seamless 24x7 uptime.

• Deploy and manage cloud-based production systems using best practices.
• Ensure system availability, performance, scalability, and security through proactive monitoring and optimization.
• Collaborate with delivery teams to design and implement Continuous Integration/Continuous Deployment (CI/CD) processes.

We are looking for an individual who can bring forward-thinking solutions to our team. If you have a passion for DevOps and a drive to deliver exceptional results, we encourage you to apply.

• Proven experience as a DevOps Engineer in Amazon AWS environments.
• Experience with system monitoring tools and maintaining/administering Git version control.
• AWS Services (S3, EC2, ECS, SES, SQS, SNS, IAM, RDS, CloudWatch, VPC etc)
• Docker/Jenkins
• Coding skills (Java, Python, Golang) are a plus.

• The opportunity to work on cutting-edge projects and contribute to the growth of our organization.
• A collaborative and dynamic work environment that fosters learning and development.