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Cloud IaaS-Operations Support-Azure

Azure Infrastructure Engineer – Platform Engineering & AIOps

Role Summary

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.

See also

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