Senior DevOps Engineer
Srijan Technologies Private LimitedMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessGeneralist senior DevOps in Bangalore with broad Azure/Kubernetes/CI-CD stack attracts high competition.
Azure, Kubernetes and Terraform are transferable, but enterprise cloud and Databricks focus raises sensitivity to medium.
Multiple mandatory Azure, Kubernetes, Terraform, CI/CD, monitoring tools and 7+ years make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain cloud-native applications and platforms on Microsoft Azure with a focus on scalability, security, and high availability.
Build, manage, and automate Kubernetes-based (AKS) containerized deployments including infrastructure provisioning using Terraform and CI/CD pipelines with Azure DevOps, GitHub Actions, and ArgoCD.
Monitor application and infrastructure performance using Dynatrace, troubleshoot production issues, perform root cause analysis, and collaborate cross-functionally to deliver enterprise-scale cloud solutions.
Minimum Requirements
7+ years overall IT experience with at least 4+ years hands-on experience in Microsoft Azure Cloud.
Strong expertise in Kubernetes (AKS), containerization (Docker preferred), Terraform for infrastructure as code, and CI/CD tools including Azure DevOps and GitHub Actions.
Experience with Azure services such as Cosmos DB, Azure Functions, PostgreSQL, Key Vault, Storage Accounts, Databricks, Data Lake, and Apache Airflow.
Bachelor's or Master's degree in Computer Science, IT, or related field; Microsoft Azure certifications preferred but not mandatory.
Ideal Candidate Profile
Experienced in enterprise-scale cloud transformation projects with proven ability to design highly available, scalable, and secure Azure cloud architectures.
Proficient in full lifecycle DevOps implementation including container orchestration (Kubernetes), infrastructure automation, security best practices (DevSecOps) and monitoring at scale.
Strong collaborator able to work with data engineering and cross-functional teams to integrate complex cloud and data services in agile environments.