Cloud Platform Engineer

4 days ago

uttar pradesh, India beBeeCloud Full time

About the Job This is a leadership role where you will have meaningful involvement in full-stack engineering. The ideal candidate will have a strong background in Azure DevOps and a solid understanding of full-stack engineering. You will be responsible for architecting and scaling CI/CD pipelines for microservices deployed on Azure Kubernetes Service (AKS) using Terraform + GitOps (ArgoCD) You will own DevOps & SRE frameworks including deployments, reliability engineering, self-healing systems, and incident readiness You will lead observability efforts with Grafana, Azure Monitor, distributed tracing, and structured logging You will define and enforce SLOs, SLIs, runbooks, and reliability automation practices You will collaborate closely with backend, frontend, data, and automation teams—leveraging your full-stack knowledge to align infrastructure with application needs You will contribute to architectural reviews across services built with Python (FastAPI), React, and Postgres You will implement scalable, secure, cost-efficient cloud environments and FinOps best practices (Kubecost + Azure telemetry) Primary Expertise - DevOps & SRE Deep hands-on experience with Azure Cloud: AKS, Event Hubs, VNets/security, Azure Postgres, Azure Storage CICD experience with GitHub Actions or Azure DevOps; Infrastructure-as-Code via Terraform Strong command of containers, service meshes, secrets management, and cloud security hardening Expertise with monitoring, logging, tracing, alerting, and operational dashboards Familiarity with distributed systems, microservices reliability, and performance tuning Ability to transform infrastructure into an automated, resilient, self-recovering system Secondary Expertise - Full-Stack Engineering & ML Ops Experience in application development across frontend and backend Good to have a working understanding of ML Ops Strong familiarity with Python (FastAPI) and modern JavaScript frameworks (React, Tailwind) Ability to review, debug, and optimize application code to enhance CICD, observability, and performance Experience with APIs, caching, Postgres, serialization, and microservice communication patterns A developer-first mindset applied to DevOps tooling and workflows

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