Cloud Engineer
Cloud Engineer
AlgoLeapFresher
This job is no longer accepting applications
Job Description
We are seeking an Azure Infrastructure Engineer to lead Azure Platform Engineering, AIOps enablement, and enterprisegrade API integrations.
This is a handson, senior technical role responsible for building and operating a scalable Internal Developer Platform (IDP) that enables deep automation, observability, and AIdriven operations through Pythonbased services and APIfirst integrations across Azure, DevOps, monitoring, and ITSM ecosystems.
Key Responsibilities
Platform Engineering & Leadership
This is a handson, senior technical role responsible for building and operating a scalable Internal Developer Platform (IDP) that enables deep automation, observability, and AIdriven operations through Pythonbased services and APIfirst 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 selfservice capabilities.
- Act as the technical authority and escalation point for platform and CloudOps integrations.
- Architect and govern enterprisescale Azure infrastructure using Terraform (IaCfirst).
- Ensure consistent implementation of landing zones, networking, identity, and governance.
- Review Terraform modules for security, scalability, and operational readiness.
- Define and lead Azure DevOps CI/CD standards using YAML pipelines.
- Build Pythonbased automation, including:
- Orchestration and workflow engines
- Platform utilities, health checks, and guardrails
- Alert and eventdriven remediation
- Integrate automation into CI/CD and operational workflows.
- 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 APIdriven workflows using Python (REST, webhooks, eventdriven).
- Standardize authentication, authorization, and secrets management.
- Ensure integrations are secure, resilient, observable, and automationready.
- Provide technical leadership for AKS platform architecture and operations.
- Define standards for networking, security, scaling, and lifecycle management.
- Guide teams on Helmbased deployments and cloudnative patterns.
- Own the AIOps strategy for Azure CloudOps, including:
- Alert correlation and noise reduction
- Anomaly detection and predictive insights
- APIdriven and Pythonbased automated remediation
- 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 oncall support, acting as Lead escalation for:
- Production incidents and service degradation
- AKS, Azure infrastructure, and CI/CD failures
- Drive incident triage, RCA, and postincident 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.
- Deep expertise in Microsoft Azure (compute, networking, identity, governance).
- Strong handson 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 eventdriven architectures.
- Proven leadership in platform engineering, DevOps, or CloudOps.
- Practical experience or strong exposure to AIOps and observability.
More Info
Key Skills
webhooks
AKS
YAML pipelines
AIOps
observability




