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Cloud IaaS-Operations Support-Azure Professional
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
11 August 2026
What they need
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.
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.
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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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