Cloud Operations Specialist
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Key skills for this role
About the Role
We are hiring a Cloud Operations Specialist (DevOps Engineer) for a contract role in Abu Dhabi. You will design, implement, and manage scalable cloud infrastructure on AWS and Kubernetes to support AI systems.
Key Skills for This Role
Responsibilities
- Design, implement, and maintain scalable cloud infrastructure solutions using AWS and Kubernetes
- Automate deployment pipelines, monitoring, and configuration management
- Collaborate with development teams to integrate and deliver continuous updates across multiple environments
- Monitor system performance metrics, proactively identifying and resolving bottlenecks or potential outages
- Implement and enforce security best practices within DevOps processes
- Document technical processes, workflows, and incident reports clearly
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
- Minimum of 3 years of hands on experience with AWS cloud services and infrastructure management
- Proficiency in Kubernetes, including deployment, scaling, and management of containerized applications
- Experience with infrastructure as code tools such as Terraform or AWS CloudFormation
- Strong knowledge of CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI
- Familiarity with monitoring and logging tools such as Prometheus, Grafana, or AWS CloudWatch
- Understanding of security best practices in cloud environments, including IAM policies, network security, and data encryption
- Excellent problem solving skills and ability to troubleshoot complex system issues
- Strong written and verbal communication skills
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a DevOps Engineer to work on a contract basis. In this role, you will design, implement, and manage scalable cloud infrastructure on AWS and Kubernetes to support next generation AI systems.
Key Responsibilities
- Design, implement, and maintain scalable cloud infrastructure solutions using AWS and Kubernetes to ensure system reliability and performance.
- Automate deployment pipelines, monitoring, and configuration management to enhance operational efficiency and reduce manual intervention.
- Collaborate with development teams to integrate and deliver continuous updates across multiple environments while maintaining system stability.
- Monitor system performance metrics, proactively identifying and resolving bottlenecks or potential outages to minimize downtime.
- Implement and enforce security best practices within DevOps processes to support compliance and protect sensitive data.
- Document technical processes, workflows, and incident reports clearly for both technical and non technical stakeholders.
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Minimum of 3 years of hands on experience with AWS cloud services and infrastructure management.
- Proficiency in Kubernetes, including deployment, scaling, and management of containerized applications.
- Experience with infrastructure as code tools such as Terraform or AWS CloudFormation for reproducible deployments.
- Strong knowledge of CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI to automate software delivery.
- Familiarity with monitoring and logging tools such as Prometheus, Grafana, or AWS CloudWatch to track system health.
- Understanding of security best practices in cloud environments, including IAM policies, network security, and data encryption.
- Excellent problem solving skills and the ability to troubleshoot complex system issues in a fast paced environment.
- Strong written and verbal communication skills to document processes and explain technical concepts to diverse audiences.
More About the Opportunity
- This role offers the chance to work on the infrastructure backbone of an industry leading AI platform that connects domain experts with frontier AI development.
- You will join a team shaping how AI models are trained and evaluated globally, with exposure to cutting edge technologies and scalable systems.
Equal Opportunity Employer
- We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history.
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