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
