About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
We are looking for an experienced Azure Cloud Engineer with strong hands-on expertise in managing, troubleshooting, and optimizing cloud environments. The ideal candidate should possess deep knowledge of Azure architecture, be able to resolve issues rand effectively diagnose and fix memory and caching problems in distributed applications.
Key Responsibilities:
- Manage and support Azure services, including compute, storage, networking, and monitoring.
- Troubleshoot and resolve related issues in Azure environments.
Required Skills & Qualifications:
- Proven hands-on experience with Microsoft Azure (App Services, Functions, Service Fabric, Storage, Networking, etc.).
- Strong understanding of Azure Resource Manager (ARM), Azure Monitor, Application Insights, and Log Analytics.
- Experience troubleshooting memory leaks, performance bottlenecks, and cache consistency issues.
- Knowledge of Redis Cache / Azure Cache for Redis.
- Familiarity with Azure DevOps pipelines and CI/CD processes.
- Scripting experience using PowerShell or Azure CLI.
- Good communication and analytical problem-solving skills.
- Analyze and fix memory and cache issues, optimizing performance across Azure workloads.
- Implement best practices for Azure infrastructure, scalability, and reliability.
- Collaborate with development and DevOps teams to design and maintain cloud-based applications.
- Monitor system performance, perform capacity planning, and recommend improvements.
- Ensure compliance with security and operational standards across Azure resources.
- Automate infrastructure deployment and maintenance using ARM templates, Bicep, or Terraform.
