
DevOps Engineer
Energy Exemplar9 days ago
Pune, IndiaMid Level
Responsibilities
- Design, provision, and maintain modular, parameterized 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 using YAML, reusable templates, variable groups, environments, and approval gates.
- Write PowerShell automation for provisioning, release rollouts, and environment management.
- Triage and remediate CVEs and track VAPT findings through closure 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 lifecycle in Azure Container Registry.
- Apply container security, least-privilege RBAC, secrets management, and network policies across Kubernetes namespaces.
Requirements
- At least 2 years of DevOps experience.
- Graduate/Master's degree in Computer Science, Engineering, or a related discipline.
- Experience with Azure services including AKS, Azure DevOps, Key Vault, Azure Container Registry, Azure Monitor, Log Analytics, and App Configuration.
- Knowledge of Kubernetes workload deployment, RBAC, network policies, ingress, HPA, pod security, and troubleshooting.
- Experience with Docker multi-stage builds, image optimization, and registry management.
- Ability to author modular, parameterized infrastructure as code with Bicep or Terraform, with at least ARM comprehension.
- Experience with multi-stage Azure Pipelines, YAML templates, variable groups, environments, and approval gates.
- Strong PowerShell skills for release automation and provisioning; Bash experience for Linux containers.
- Knowledge of container image scanning, CVE triage and remediation, and VAPT awareness.
- Experience with Azure Key Vault, Managed Identity, KQL, Log Analytics alerts, Prometheus, Grafana, Application Insights, VNets, NSGs, private endpoints, AKS CNI models, TLS, and cert-manager.
- Ability to manage and prioritize multiple tasks independently and collaboratively.
- MLOps experience with vLLM deployment on Azure ML, LoRA adapter management, or LiteLLM proxy configuration is preferred.
Benefits
- 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.