Senior DevOps Engineer

9 days ago

Pune, IndiaSenior

Responsibilities

Design, provision, and maintain modular Azure infrastructure using Bicep and Terraform.
Manage AKS clusters, including node pools, upgrades, RBAC, network policies, CNI, ingress, HPA, and pod security standards.
Author and maintain multi-stage Azure Pipelines with reusable templates, variable groups, environments, and approval gates.
Write PowerShell automation for provisioning, release rollouts, and environment management.
Triage and remediate CVEs and close VAPT findings within agreed SLAs.
Build KQL-based alerts, dashboards, and workbooks in Log Analytics.
Manage Prometheus and Grafana stacks for Kubernetes workload observability.
Create optimized multi-stage Dockerfiles and manage container image lifecycles in Azure Container Registry.
Apply security standards, network policies, secrets management, and least-privilege RBAC across Kubernetes namespaces.
Support networking, certificate management, and scalable application delivery across cloud environments.

At least 4 years of DevOps experience.
Graduate or Master's degree in Computer Science, Engineering, or a related discipline.
Experience with Azure services including AKS, Azure DevOps, Key Vault, Azure Container Registry, Monitor, Log Analytics, and App Configuration.
Experience deploying and troubleshooting Kubernetes workloads, RBAC, network policies, ingress, HPA, pod security, and containerized applications.
Experience with Docker multi-stage builds, image optimization, and registry management.
Experience authoring modular, parameterized infrastructure as code with Bicep or Terraform, with ARM comprehension.
Experience building multi-stage Azure Pipelines using YAML, templates, variable groups, environments, and approval gates.
Strong PowerShell experience for release automation and provisioning; Bash experience for Linux containers.
Experience with container image scanning, CVE remediation, VAPT, secrets management, Azure Key Vault, and Managed Identity.
Experience with KQL, Log Analytics alerts, Prometheus, Grafana, and Application Insights.
Knowledge of Azure networking, including VNets, NSGs, private endpoints, AKS CNI models, TLS, and cert-manager.
MLOps experience with vLLM and Azure ML, or familiarity with AI/ML model gateway patterns, is preferred.
Ability to prioritize multiple tasks and work independently and collaboratively.

Flexible work arrangement allowing employees to work from home, in the office, or on the move.
Support for work-life balance and an inclusive, equal-opportunity workplace.
Accommodation support is available during the recruitment process.

501-1,000 employees