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. 
  

Azure Infrastructure & Infrastructure‑as‑Code 

• 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. 
  

CI/CD, Automation & Python Engineering 

• 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. 
  

API Integration & Platform Connectivity (Core Focus) 

• 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. 
  

Kubernetes & Cloud‑Native Platforms 

• 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. 
  

AIOps & Observability 

• 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. 
  

Cross‑Team Leadership 

• 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. 
  

Business‑as‑Usual (BAU) & Rotational Support 

• 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. 
  

Required Skills & Experience 

• 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. 
  

Nice to Have: FastAPI/Flask, Helm, GitOps, policy‑as‑code, FinOps.