Platform & DevOps Engineer

Y-Axis; Dubai; Remote; AED 350,000 - 550,000; Full time

Job summary

Y-Axis seeks a Senior DevOps Engineer to design, implement, and manage large-scale, production-grade cloud environments. You will lead Azure DevOps pipelines, secure CI/CD, and optimize成本 and performance while integrating AI/ML platforms.

Apply your expertise in microservices, serverless architectures, and infrastructure as code to drive automation, security, and scalability across the organization.

Qualifications

• Senior DevOps experience in designing and managing production-grade cloud environments.
• Strong hands-on skills with Azure DevOps and Azure Cloud Infrastructure.
• Experience implementing DevSecOps practices and IaC pipelines.

Skills

Azure DevOps / CI/CD

Azure Cloud Infrastructure

DevSecOps

LLM & AI/ML Platforms

Observability & Monitoring

Code Quality & Version Control

Automation & Scripting

Infrastructure as Code

Cloud security best practices

Microservices / serverless

Tools

Dynatrace

Prometheus

Grafana

SonarQube

Git / GitHub

PowerShell

Python

Bash

Job description

Full Time

Start Date

Immediate

Expiry Date

08 Dec, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Job Description:

We are looking for a highly skilled Senior DevOps Engineer with extensive experience in designing, implementing, and managing large-scale, production-grade cloud environments. The ideal candidate will have strong expertise in Azure DevOps, cloud infrastructure, and modern DevOps practices with a focus on automation, security, and scalability.

Key Skills & Requirements:

• Azure DevOps / CI/CD: Build, deploy, and maintain pipelines for complex applications.
• Must have experience working on Azure Cloud Infrastructure
• Managed Azure Cloud: Experience in high-scalable, production-grade Azure environments.
• DevSecOps: Implement security practices in CI/CD pipelines.
• MCP Server / Infrastructure Management
• LLM & AI/ML Platforms: Experience with Azure AI Foundry, Azure Machine Learning infrastructure.
• Observability & Monitoring: Dynatrace, Prometheus, Grafana, logging, metrics, and alerting.
• Code Quality & Version Control: SonarQube, Git, GitHub.
• Automation & Scripting: PowerShell, Python, or Bash.
• Strong problem-solving skills, troubleshooting production issues, and optimizing systems for performance and cost.
• Infrastructure as Code (Terraform, Bicep, ARM templates)
• Cloud security best practices
• Experience with microservices and serverless architectures
• Knowledge of Agile/DevOps culture and collaboration practices