Cloud Engineer

We are seeking an Azure Infrastructure Engineer to lead Azure Platform Engineering, AIOps enablement, and enterprise‑grade API integrations.

This is a hands‑on, senior technical role responsible for building and operating a scalable Internal Developer Platform (IDP) that enables deep automation, observability, and AI‑driven operations through Python‑based services and API‑first integrations across Azure, DevOps, monitoring, and ITSM ecosystems.

Key Responsibilities

Platform Engineering & Leadership

• Own the Azure platform architecture, roadmap, and engineering standards.
• Define golden paths, reusable platform services, and self‑service capabilities.
• Act as the technical authority and escalation point for platform and CloudOps integrations.
  
  

• Architect and govern enterprise‑scale Azure infrastructure using Terraform (IaC‑first).
• Ensure consistent implementation of landing zones, networking, identity, and governance.
• Review Terraform modules for security, scalability, and operational readiness.
  
  

• Define and lead Azure DevOps CI/CD standards using YAML pipelines.
• Build Python‑based automation, including:
• Orchestration and workflow engines
• Platform utilities, health checks, and guardrails
• Alert‑ and event‑driven remediation
• Integrate automation into CI/CD and operational workflows.
  
  

• Serve as the API Integration Specialist, owning integrations across:
• Azure services (ARM, Azure Monitor, Log Analytics, AKS, Key Vault)
• Azure DevOps (pipelines, repos, artifacts, boards)
• Observability platforms (Grafana, Prometheus, Loki, Azure Monitor)
• ITSM / Operations tools (ServiceNow, incident and ticketing systems)
• Design API‑driven workflows using Python (REST, webhooks, event‑driven).
• Standardize authentication, authorization, and secrets management.
• Ensure integrations are secure, resilient, observable, and automation‑ready.
  
  

• Provide technical leadership for AKS platform architecture and operations.
• Define standards for networking, security, scaling, and lifecycle management.
• Guide teams on Helm‑based deployments and cloud‑native patterns.
  
  

• Own the AIOps strategy for Azure CloudOps, including:
• Alert correlation and noise reduction
• Anomaly detection and predictive insights
• API‑driven and Python‑based automated remediation
• Standardize observability data for AIOps consumption.
• Continuously improve MTTR, availability, and operational efficiency.
  
  

• Mentor and lead platform and Azure infrastructure engineers.
• Partner with Security, FinOps, SRE, and CloudOps teams.
• Produce SOPs, runbooks, and API contracts suitable for L1/L2 and AIOps automation.
  
  

• Own BAU platform and CloudOps operations, ensuring stability and reliability.
• Participate in rotational on‑call support, acting as Lead escalation for:
• Production incidents and service degradation
• AKS, Azure infrastructure, and CI/CD failures
• Drive incident triage, RCA, and post‑incident reviews, feeding outcomes into:
• Platform improvements
• Automation and AIOps use cases
• SOPs and runbooks
• Progressively automate BAU operations using Python, APIs, and CI/CD workflows.
• Partner with L1/L2 teams to shift left via automation and AIOps.
  
  

• Deep expertise in Microsoft Azure (compute, networking, identity, governance).
• Strong hands‑on experience with Terraform at enterprise scale.
• Advanced experience with Azure DevOps CI/CD and YAML pipelines.
• Strong experience with AKS / Kubernetes.
• Strong Python proficiency for automation and integrations.
• Strong experience with REST APIs, webhooks, and event‑driven architectures.
• Proven leadership in platform engineering, DevOps, or CloudOps.
• Practical experience or strong exposure to AIOps and observability.