Azure devops Engineer

Job Title : Azure DevOps Engineer

Experience : 4 years & abv (Specialization in Azure)

Salary : INR 12-13 Lakhs Per Annum

Job Location : Remote / Work from Home

Role Overview :
We are looking for a skilled Azure DevOps Engineer with strong experience in managing and
deploying cloud infrastructure, specializing in Azure services. This role involves optimizing,
securing, and maintaining cloud solutions to support development and deployment activities
across multiple environments. The ideal candidate will also have experience with Azure AI
services, adding AI-driven capabilities to enhance DevOps processes.

Key Responsibilities :

● Manage and automate Azure-based infrastructure, including resource provisioning,
configuration, and monitoring.
● Develop and maintain AZ CLI scripts and automate processes using Azure CLI and
shell scripting.
● Configure and administer services like ElasticSearch, Azure Kubernetes, and
related technologies for optimized performance.
● Handle administrative tasks within Azure, including managing Azure Active Directory,
SAML authentication, and secure email configurations.
● Use Terraform for infrastructure-as-code (IaC) in Azure to manage and deploy
resources efficiently.
● Integrate Azure AI services into DevOps workflows, leveraging tools like Azure
Machine Learning, Cognitive Services, and Bot Services.
● Collaborate with teams to ensure seamless integration of Google Cloud Platform
(GCP) as needed.
● Implement MLOps practices, automating machine learning model deployment and
monitoring using Azure DevOps pipelines.
● Ensure best practices for security, scalability, and disaster recovery across cloud
deployments.
● Support data management and governance, especially concerning AI services,
including data lakes and data pipelines.

Required Skills :

• Azure Expertise: Strong command over Azure User Interface (UI) and AZ CLI commands and scripting.
• ElasticSearch: Hands-on experience with ElasticSearch in a cloud environment.
• Azure Kubernetes: Proficiency in deploying and managing Azure Kubernetes Services.
• Shell Scripting : Strong skills in writing and optimizing shell scripts.
• Azure Active Directory & SAML : Good understanding of Azure AD administration and secure email handling.
• Terraform with Azure : Experience in Terraform for resource automation.
• GCP Knowledge (Desirable): Basic understanding of Google Cloud Platform services is a significant plus.

Additional Skills for Azure AI Services:

● Azure AI Services Expertise:
○ Experience with deploying and managing Azure Machine Learning, Cognitive
Services (e.g., Text Analytics, Computer Vision), and Bot Services.
○ Proficiency in setting up and configuring Azure Machine Learning workspaces,
including managing compute resources, training models, and deploying machine
learning models.
○ Familiarity with Azure Cognitive Services APIs for integrating AI capabilities
such as language understanding, image processing, and speech
recognition into applications.
○ Knowledge of MLOps practices for automating machine learning workflows,
including using Azure DevOps pipelines for model deployment and monitoring.
○ Ability to integrate AI services within DevOps processes, using tools like
Azure Machine Learning SDK and Python for scripting AI model operations.
○ Understanding of data management and governance, especially in the context
of AI, including working with Azure Data Lake, Databricks, and Azure Synapse
Analytics.

● AI and Automation:
○ Experience with integrating AI-based automation tools to optimize DevOps
workflows.
○ Hands-on knowledge of automating infrastructure monitoring and
maintenance tasks using AI-driven solutions.

Qualifications :

• Bachelor’s degree in Computer Science, IT, or a related field.
• Minimum 4 years of experience in DevOps engineering, with a focus on Azure solutions.

Application Requirements :

Please include the following information in your application.

1. Current CTC
2. Expected CTC
3. Notice Period
4. Relevant Years of Experience (specific to Azure)
5. Reason for Job Change
6. LinkedIn Profile Link

Application Process :
You can apply via the Job portal or also send your updated resume
with the required information on Email- [email protected] with the Email
subject line- “Candidate name- Application- Azure Devops Engineer” .

Hiring Process:

• 3 rounds of interviews (+ assignment if required)
• Interview Platforms: Google Meet / MS Teams

If you're a proactive problem-solver passionate about DevOps and cloud solutions, we’d love to
hear from you!