Enterprise systems integration and cloud migration services
TecQubes is a 51–200-person services firm specializing in enterprise data integration, cloud migration, and business operations optimization. Their tech footprint reveals a Microsoft-Azure-first architecture (Azure Data Factory, Event Hubs, Service Bus, SQL managed services) paired with mature backup and disaster-recovery tooling (Veritas, Commvault, Veeam), and active projects around ETL pipeline design and observability—suggesting they're building repeatable migration and data-ops playbooks for mid-market clients moving off legacy infrastructure. Senior engineering roles dominate their hiring (13 of 17 technical hires), indicating they're scaling delivery capacity rather than entry-level bench.
TecQubes provides business operations consulting and custom technology services to mid-market enterprises. Core offerings include cloud platform migration (primarily Azure), data integration and ETL design, managed services, and business process optimization. The company operates globally with engineering and data teams distributed across India, Argentina, and the US, supporting clients through hybrid system transitions, legacy database upgrades, and supply-chain optimization projects. Their stack centers on Microsoft Azure infrastructure, SQL Server ecosystems, and enterprise backup solutions, positioning them as hands-on implementers for organizations moving from on-premise or multi-cloud environments.
Primary: Azure (Data Factory, SQL Managed Instance, Event Hubs, Service Bus, Functions, Logic Apps, DevOps), SQL Server, .NET/C#/ASP.NET. Supporting: backup platforms (Veritas NetBackup, Commvault, Veeam), Python, PostgreSQL, Terraform, and monitoring/IaC automation tools.
Azure cloud migrations, ETL and data integration pipeline design, product implementation and integration, observability platform architecture, infrastructure-as-code automation, and supply-chain process optimization. Current pain points center on legacy system migration, hybrid database management, and deployment risk reduction.
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