Cloud Engineer

algoleap; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Algoleap seeks an experienced Azure Infrastructure Engineer to lead Azure Platform Engineering, AIOps enablement, and enterprise‑grade API integrations.

This senior role builds and operates 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.

Qualifications

• 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.

Responsibilities

• Own the Azure platform architecture, roadmap, and engineering standards.
• Define golden paths, reusable platform services, and self-service capabilities.
• Act as the technical authority for platform and CloudOps integrations.
• Architect and govern enterprise-scale Azure infrastructure using Terraform (IaC‑first).
• Define and lead Azure DevOps CI/CD standards using YAML pipelines.
• Build Python-based automation, including orchestration, health checks, and guardrails.
• Design API-driven workflows using Python (REST, webhooks).
• Provide leadership in platform engineering, DevOps, or CloudOps.
• Mentor platform and Azure infrastructure engineers.

Skills

Azure Platform Engineering

Terraform

Azure DevOps

YAML pipelines

AKS / Kubernetes

Python

REST APIs

Leadership

AIOps/Observability

Job description

Job Description:

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.