Senior Devops Engineer

Job Summary

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.

Please note; candidate should be from Bangalore and be ready to work from office (hybrid).

Responsibilities

• 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 strategy.
• 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, timeouts, 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 workloads is an advantage.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.