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Senior DevOps Engineer

Hams.aiRiyadh, KSA2 weeks agoMid-Senior
Senior DevOps Engineer
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Via NaukriGulf·

About This Role

Job Overview
We are seeking an experienced Senior DevOps Engineer to design, implement, and maintain scalable infrastructure and automation systems that support our software development and deployment processes. The ideal candidate will have strong e=xpertise in cloud platforms, CI/CD pipelines, infrastructure as code, and system reliability practices.
This role requires collaboration with development, security, and operations teams to improve system performance, reliability, and deployment efficiency. Experience supporting AI or Voice AI infrastructure is a strong plus.

Key Responsibilities
Infrastructure & Automation
Design, implement, and maintain scalable cloud infrastructure.
Automate provisioning and configuration management using Infrastructure as Code (IaC).
Optimize infrastructure for performance, cost efficiency, and scalability.
Architect multi-region, highly available production environments.
Design and operate Kubernetes clusters handling high production traffic.
Lead capacity planning, node pool design, and autoscaling strategies.
Define infrastructure standards across staging, pre-production, and production.
Drive infrastructure reliability improvements based on production incidents.
Implement workload isolation strategies and resource governance policies.
CI/CD & Deployment
Build and maintain CI/CD pipelines using tools such as Jenkins, GitLab, or GitHub.
Implement automated build, test, and deployment processes.
Support continuous integration and continuous delivery best practices.
Design progressive delivery strategies (blue-green, canary deployments).
Implement automated rollback and deployment validation mechanisms.
Define GitOps-based deployment workflows where applicable.
Enforce artifact integrity, pipeline security scanning, and policy controls.
Optimize pipelines for high deployment frequency and production safety.
☁️ Cloud & Containerization
Deploy and manage infrastructure on cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure.
Manage containerized applications using Docker and orchestration systems like Kubernetes.
Support infrastructure for real-time applications including voice or conversational AI services.
Operate Kubernetes clusters at production scale with thousands of pods.
Design autoscaling strategies using HPA/VPA and cluster autoscalers.
Implement advanced networking configurations for low-latency systems.
Optimize

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