Azure Devops Engineer with a Global IT services company, BLR
Artizent Infosolutions Pvt Ltd · Bengaluru · onsite · Posted today
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About this role
Senior Azure Devops Engineer
ABOUT ARTIZENT
Artizent (formerly known as Nous Infosystems) is a CMMI Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries.
Artizent is built on deep engineering discipline, selective industry focus, and a continued commitment to solving complex business problems for enterprise customers. Our work spans software and product engineering, data and analytics, cloud modernization, quality engineering, automation, and applied AI-enabled solutions, with particular depth in banking, financial services, insurance, and other regulated industries where technology must operate at scale, with precision, resilience, and accountability.
At Artizent, you will apply your expertise to complex, mission-critical challenges and help deliver outcomes that global enterprises depend on every day. If you are looking to grow your career working on high-stakes, high-scale problems for customers who demand reliable execution, this is the place to do it. To know more about us please visit www.artizent.com
We are on the lookout for Azure Devops professionals with the following experience and capabilities.
Job Title: Senior Azure DevOps Engineer – Terraform & AI
Experience: 7–12 years
Location :- Bengaluru
About the Role
We are looking for a Senior Azure DevOps Engineer with strong hands-on experience in Azure cloud infrastructure, Terraform and CI/CD automation, along with practical experience deploying and supporting AI/GenAI applications.
Key Responsibilities
- Design and manage secure, scalable Azure infrastructure across development, testing and production environments.
- Develop reusable Terraform modules and automate infrastructure provisioning, configuration and deployments.
- Build and maintain Azure DevOps CI/CD pipelines for applications, infrastructure and AI workloads.
- Deploy and support AI applications using Azure OpenAI, Azure AI Search and Azure Machine Learning, as applicable.
- Manage containerized deployments using Docker and Azure Kubernetes Service (AKS).
- Implement monitoring, logging and alerting using Azure Monitor, Log Analytics and Application Insights.
- Ensure cloud security through Key Vault, RBAC, managed identities and private networking.
- Troubleshoot production issues and optimize infrastructure reliability, performance and cost.
- Collaborate with development and AI engineering teams and guide engineers on DevOps best practices.
Required Skills
- 7–12 years of relevant experience, with strong expertise in Azure, Terraform and Azure DevOps.
- Hands-on experience with Infrastructure as Code, reusable Terraform modules and remote state management.
- Strong knowledge of YAML pipelines, Git, Docker, Kubernetes/AKS and scripting using PowerShell, Python or Bash.
- Practical experience deploying and operating AI/GenAI applications on Azure, including authentication, monitoring and scaling.
- Strong understanding of Azure networking, security, governance and production troubleshooting.
Preferred Skills
- Exposure to MLOps/LLMOps, RAG applications, vector search and model deployment workflows.
- Relevant Azure or Terraform certifications.
Education: BE/B.Tech/MCA or equivalent practical experience.
If your experience aligns with the above requirements, please send your latest profile to [email removed] , along with following details.
Current CTC :-
Expected CTC :-
Minimum Notice period :-
Current Location :-
Regards
Team TA
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