DevOps Specialist ( REMOTE)

ADV TECHMINDS; Dubai; Hybrid; AED 120,000 - 150,000; Full time

Job summary

A technology solutions company is seeking a skilled DevOps Specialist to develop, deploy, and optimize cloud-native applications using Microsoft Azure. The ideal candidate will have a strong background in Azure services, DevOps tools, and automation scripting. Responsibilities include designing and managing Azure environments, implementing CI/CD pipelines, and collaborating to enhance system reliability. A Bachelor's degree in a related field is required, and familiarity with energy trading technologies is a plus.

Qualifications

• Strong experience with Microsoft Azure services and cloud architecture.
• Experience designing and maintaining robust ETL pipelines for large-scale datasets.
• Familiarity with data lakehouse architecture and hybrid cloud environments.

Responsibilities

• Design and implement scalable, secure, and resilient cloud-native applications.
• Monitor and optimize cloud environments using Azure Monitor and Application Insights.
• Automate infrastructure provisioning with tools like Terraform.

Skills

Microsoft Azure services

DevOps tools (Azure DevOps, Git, Docker, Kubernetes, Jenkins)

Infrastructure as code (IaC)

Automation scripting (PowerShell, Bash, Python)

Monitoring and logging tools in Azure

Agile methodologies

Integration with Python-based analytics environments

Data ingestion tools (e.g., Azure Data Factory)

Education

Bachelor's degree in computer science, Engineering, or related field

Job description

Job Title: DevOps Specialist

Location: Dubai / India

Job Summary

We are seeking a skilled DevOps/Azure Developer to join our team and drive the development, deployment, and optimization of cloud-native applications on Microsoft Azure.

Key Responsibilities

• Design and implement scalable, secure, and resilient cloud-native applications using Azure Service.
• Design and manage Azure Data Lake environments for large-scale data ingestion, processing, and analytics.
• Design and implement CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins
• Develop and deploy cloud applications using Azure services like App Services, Functions, AKS, and Logic Apps
• Automate infrastructure provisioning with tools like Terraform, ARM templates, or Bicep
• Monitor and optimize cloud environments using Azure Monitor, Application Insights, and Log Analytics
• Collaborate with development and operations teams to streamline release cycles and improve system reliability
• Troubleshoot and resolve issues in cloud infrastructure and application deployments

Required Skills & Qualifications

• Strong experience with Microsoft Azure services and cloud architecture
• Proficiency in DevOps tools: Azure DevOps, Git, Docker, Kubernetes, Jenkins
• Knowledge of infrastructure as code (IaC) and automation scripting (PowerShell, Bash, Python)
• Experience designing and maintaining robust ETL pipelines for ingesting and transforming large-scale, real-time datasets from APIs (e.g., Vortexa, Kpler, AIS/ship tracking, Market Pricing data).

• Familiarity with supporting data science workflows, including integration with Python-based analytics environments (e.g., Jupyter, Databricks).
• Experience working with time-series data, geospatial data, and event-driven architectures for real-time tracking and alerting.

• Familiarity with monitoring and logging tools in Azure
• Exposure monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
• Strong hands-on experience with Azure Service Fabric, Azure Data Lake (Gen2), and Azure Storage.
• Experience with agile methodologies and collaborative development environments
• Familiarity with GitOps, DevSecOps practices, Zero Trust Architecture, and policy-as-code.
• Familiarity with data ingestion tools (e.g., Azure Data Factory, Synapse Pipelines) is a plus.
• Integrate with Azure Data Lake, SQL/NoSQL databases, and RESTful services
• Knowledge of data lakehouse architecture, Delta Lake, or Apache Spark on Azure.
• Experience with hybrid cloud environments.
• Bachelors degree in computer science, Engineering, or related field.
• Knowledge of Energy Trading (oil and gas) and trading technologies will be a plus.