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Devops Engineer

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Hybrid

Devops Engineer

Aziro

Devops Engineer

Skills

DockerPythonDevOpsMicroservicesPostgreSQLKafkaRedisDatabricksAIGitHubLinuxKubernetesTerraformAzure

19 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

1 October 2026

What they need


Role & 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 strategi
  • 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/agent workloadsis an advantage.

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