Azure Devops Engineer

About Us:

Inductive Quotient was founded by statisticians and technology industry experts with over 20 years of experience Inductive quotient aims to transform businesses and processes with its advanced digitization capabilities. With advanced AI and Machine Learning techniques we are helping Life Sciences industry to create a better healthcare system, and our Data Science capabilities helps organizations to create breakthrough solutions to transform businesses and drive sales growth.

Azure DevOps Engineer

• Location: Hyderabad, India
• Work Mode: Work From Office (On-site only)
• Experience Required: 5+years
• Salary Range: Competitive; commensurate with experience and industry standards
• Employment Type: Full-time, Permanent

Responsibilities:

• Lead technical decisions on how systems should be architected, scaled, maintained, and improved.
• Work closely with our implementation partners to ensure that all integration is secure.
• Understand which products are deployed into what environments and know how to resolve production issues, or who to reach who can resolve them.
• Configure pipelines, deployments, private networks, cloud configurations.
• Stay updated with the latest industry trends and best practices in DevOps and security.
• Drive the technical direction and architecture of our ECommerce platform.
• Ensure data security and compliance with relevant regulations.
  

Qualifications:

• Bachelor's degree in computer science, Computer Engineering, or a related field.
• Proven experience as a DevOps engineer, specifically in Azure space.
• Experience with PHP backends
• Expertise with Azure DevOps:
• ADO Build and Release Pipelines
• ADO Artifacts
• Azure Repos
• Expertise with Azure Virtual Networks
• Expertise Deploying Azure Functions
• Expertise configuring and deploying Static Web Apps
• Expertise configuring and deploying App Services
• Expertise with database configuration (Specifically Azure SQL)
• SSMS
• Azure SQL Database Emulator
• Expertise with security, permissions, and resource groups.
• Expertise with log analytics.
• Knowledge of other Cloud platforms (AWS, GCP) is a huge plus.

Why Inductive Quotient?