Job Title: Azure DevOps Engineer
Location: Indore, MP (Hybrid)
Job Summary
We are looking for an experienced Azure DevOps Engineer to design, implement, and maintain CI/CD pipelines and cloud infrastructure on Microsoft Azure.
Key Responsibilities
- Build and manage CI/CD pipelines using Azure DevOps
- Deploy and manage infrastructure on Azure
- Automate infrastructure using Terraform / ARM / Bicep
- Manage containerized applications using Docker and AKS
- Monitor, troubleshoot, and optimize Azure environments
- Ensure security, scalability, and high availability
- Strong hands-on experience with Azure services
- Azure DevOps (Pipelines, Repos, Boards)
- CI/CD and release management
- Infrastructure as Code: Terraform / ARM / Bicep
- Docker, Kubernetes (AKS)
- Scripting: PowerShell / Bash
- Monitoring: Azure Monitor, Log Analytics
- Azure certifications
- Knowledge of DevOps best practices and Agile
Top Skills
What We Do
Driving Innovation through Advanced Data and AI Services. We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge. To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas: 01 DATA MODERNIZATION Define Cloud strategy, architecture & roadmap Identify current landscape & catalog data sources Data warehouse design & setup Develop data governance & data quality framework Implement data management technologies Build data analytics capabilities Inculcate data driven culture A future-ready framework to serve all business use cases 02 DATA INTEGRATION & CLOUD MIGRATION Design & develop Optimized data models and data pipelines ETL/ELT workloads & monitoring Processes that scale up and down without performance problems Automate data migration between upstream/downstream (on-prem) systems and Cloud 03 DATA ANALYTICS & AI Data analytics consulting – use-case exploration and building analytics roadmap Data preparation and creating a single version of truth Dashboard & report development AI/ML model selection and development AI/ML model tuning and validation AI/ML model scaling, integration and deployment
