Cloud Engineer

Algoleap Technologies; Hyderabad; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

Algoleap Technologies Pvt Ltd seeks an experienced Azure Infrastructure Engineer to lead platform engineering, AIOps enablement, and API integrations across Azure, DevOps, monitoring, and ITSM ecosystems.

The role is hands-on and senior, focusing on building and operating a scalable Internal Developer Platform (IDP) with Python-based services, Terraform, and API-first integrations to drive automation and observability in enterprise environments.

Qualifications

• 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.

Responsibilities

• Own Azure platform architecture, roadmap, and engineering standards.
• Define reusable platform services and self-service capabilities.
• Lead API integrations across ITSM tools and auth/secrets management.
• Oversee AKS platform architecture, networking, security, and lifecycle.
• Drive CI/CD standards, pipelines, health checks, and guardrails.
• Mentor and lead platform engineers and collaborate with security, FinOps, SRE.
• Automate BAU operations and contribute to AIOps automation and runbooks.

Skills

Terraform

Azure DevOps CI/CD

YAML pipelines

AKS / Kubernetes

Python

REST APIs

AIOps & observability

Tools

ServiceNow

Job description

Algoleap Technologies Pvt Ltd | Full time

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 andoperatinga 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.
• 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.
• Orchestration and workflow engines.
• Platform utilities, health checks, and guardrails.
• Integrate automation into CI/CD and operational workflows.

API Integration & Platform Connectivity (Core Focus)

• Serve as the API Integration Specialist, owning integrations across:
• ITSM / Operations tools (ServiceNow, incident and ticketing systems).
• 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.
• 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.

Required Skills & Experience

• 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.