Senior Devops Engineer

Skill Sr Devops Engineer

Experience – 8 to 10 Years
Location – Bangalore

Work Mode - Hybrid

Note - Looking for Candidates who can join us within 15 Days.

We are looking Senior DevOps Engineer with strong hands-on experience in Azure Cloud, GitHub Actions, Azure DevOps, CI/CD, Infrastructure as Code, automation, cloud architecture, security, monitoring, and production troubleshooting.

Key Responsibilities & Skills

• Strong experience with Azure Cloud and services including AKS/Kubernetes, App Service, Azure Functions, VMs, Container Apps, Storage, Key Vault, API Management, Service Bus, Event Grid, Azure Monitor, and Application Insights.
• Strong hands-on experience with GitHub Actions and Azure DevOps, CI/CD pipeline design, trunk-based development, automated testing, deployment automation, and rollback strategies.
• Experience with Terraform, Docker, Helm, Kubernetes, Python and Shell scripting, and Linux administration.
• Strong understanding of Azure networking including VNets, subnets, routing, DNS, private endpoints, firewalls, WAF, load balancers, and ingress/egress.
• Experience with PostgreSQL, including connectivity, backup/restore, replication concepts, and performance monitoring.
• Strong knowledge of scalability, autoscaling, load balancing, caching, Redis, performance/load testing, capacity planning, and bottleneck analysis.
• Experience designing highly available and resilient systems, including RPO/RTO, failover, disaster recovery, retries, time outs, health checks, and automated recovery.
• Strong experience with monitoring, logging, alerting, metrics, tracing, and observability.
• Experience with DevSecOps including SonarQube/Veracode, dependency and image scanning, secrets management, certificates, RBAC, Managed Identity, and security best practices.
• Understanding of microservices, REST APIs, event-driven architecture, Azure Service Bus, Event Grid, and Kafka.
• Strong production troubleshooting and RCA skills across application, infrastructure, networking, database, Kubernetes, and cloud environments.
• Experience with deployment strategies such as blue/green, canary, rolling deployments, and automated rollback.
• Good understanding of cloud cost optimization, right-sizing, autoscaling, and storage lifecycle management.
• Exposure to Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Databricks, and AI/agent workloads is an advantage.