Tech9 is a 51–200 person custom software shop based in Utah, engineering-heavy with 7 of 8 active hires in engineering roles. Their stack reveals a mature Kubernetes-first infrastructure play (migrating away from EKS, optimizing clusters, building CI/CD pipelines) paired with rapid AI adoption—LLMOps frameworks, Azure AI Foundry agents, and PyTorch/TensorFlow tooling are core to active projects. Pain-point data shows they're wrestling with delivery bottlenecks and cross-functional coordination at scale, consistent with a shop moving from traditional custom dev into AI-native delivery models.
Tech9 delivers custom software development, staff augmentation, and digital transformation services to mid-market and enterprise clients. The company operates as a senior-led technical partner, with a mix of Python, JavaScript, and cloud infrastructure expertise anchored in AWS and Kubernetes. Recent project focus includes Kubernetes optimization, CI/CD pipeline implementation, data transformation layers, and generative AI system development using Azure AI Foundry and open-source ML frameworks. Tech9 hires across Latin America (Mexico, Uruguay, Colombia, Costa Rica, Argentina) alongside US-based staff.
Tech9 uses Kubernetes, AWS (Lambda, RDS, API Gateway, CloudFormation, IAM), Terraform, Jenkins, ArgoCD, Python, TypeScript/JavaScript, PostgreSQL, Prometheus/Grafana for observability, PyTorch, TensorFlow, and Azure AI Foundry for AI/ML workloads.
Active projects include Kubernetes cluster optimization and workload migration away from EKS, CI/CD pipeline implementation, LLMOps framework development, AI agent development in Azure AI Foundry, and data pipeline/transformation layers for platform services.
Tech9's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.