Implement secure ingress and API delivery using APIM, Application Gateway, Front Door, and WAF, including TLS, OAuth2/OIDC/JWT validation, rate limiting/throttling, IP filtering, and private backend connectivity.
Support Azure Event Hubs (Kafka-compatible) for event-driven services, including throughput planning, monitoring, partitions/consumer groups, and secure access patterns.
Build multi-stage Azure DevOps YAML pipelines for Dev/QA/Staging/Prod with approvals, validation gates, deployment controls, and rollback strategies for both infrastructure and applications.
Maintain reliability using Azure Monitor, Log Analytics, Application Insights, and Container Insights; lead incident response and RCA with documented remediation and preventive controls.
Partner with engineering teams on deployment patterns, pipeline integration, and operational best practices.
Requirements
6+ years in DevOps/Cloud/Platform/Infrastructure Engineering within the Azure ecosystem, with hands-on production experience.
Strong experience with Azure Landing Zone concepts: hub-spoke, segmentation, governance, RBAC, Azure Policy, tagging, and private connectivity.
Proven expertise with Bicep and PR-based IaC workflows (validation/linting/scanning, controlled change, drift awareness).
Deep knowledge of Azure networking: VNets, NSGs, UDRs/route tables, Private Endpoints/DNS, Load Balancers, NAT Gateway, and secure outbound patterns.
Production experience operating AKS, including private clusters, upgrades, ingress, Helm, autoscaling, and troubleshooting using kubectl (logs/events/probes/DNS/network).
Experience with APIM / App Gateway / Front Door / WAF and API security patterns (TLS, OAuth2/OIDC, JWT validation, throttling/rate limiting, IP filtering).
Experience with Azure DevOps YAML pipelines across environments, including approvals/gates and rollback strategy.
Strong security fundamentals: Entra ID RBAC, managed identities/workload identity, Key Vault, secret rotation, and certificate lifecycle management.
Proficiency with Azure CLI, PowerShell, and/or Python for automation and operational tooling.