Devops Engineer

Aziro; Bengaluru; Hybrid; INR 3,000,000 - 5,000,000; Full time

Job summary

Aziro in Bengaluru is seeking an experienced Azure Cloud Engineer/DevOps specialist to design, implement and operate scalable cloud-native solutions. You will work across CI/CD, infrastructure as code, and monitoring to ensure reliability and performance.

Responsibilities include configuring AKS, Terraform, container orchestration, security hardening, cost optimization, and disaster recovery planning, with a strong focus on automation and observability.

Qualifications

• Experience with Azure cloud and related services.

Responsibilities

• 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 workloads is an advantage.

Skills

Azure Cloud

AKS/Kubernetes

App Service

Azure Functions

VMs

Container Apps

Storage

Key Vault

API Management

Service Bus

Event Grid

Azure Monitor

Application Insights

GitHub Actions

Azure DevOps

CI/CD

Automation

Tools

Terraform

Docker

Helm

Kubernetes

Python

Shell scripting

Linux

Job description

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.