Leading regional bank modernizing with cloud infrastructure and AI-driven analytics
TBC is the largest financial institution in Georgia, operating across retail banking, lending, cards, and insurance. The tech stack reveals a hybrid-cloud posture—Azure and AWS alongside on-premises infrastructure (VMware, Active Directory)—with observability and orchestration tools (Kubernetes, ArgoCD, Prometheus, Grafana, Dynatrace) suggesting ongoing platform modernization. The hiring mix skews heavily toward finance (20 of 41 roles) and support functions, while engineering remains lean (2 roles), indicating the bank is scaling operations and customer-facing services faster than it's building new software.
Notable leadership hires: Personal Banking Director
TBC is a public bank headquartered in Tbilisi, founded in 1992, with 5,001–10,000 employees across Georgia and the United States. The institution offers deposits, loans, mortgages, cards, leasing, insurance, and internet banking. Active projects span new card products, loyalty platforms, customer experience overhaul, and correspondent banking relationships. Key operational challenges include branch profitability, regulatory compliance, documentation management, and SLA-bound incident response—typical of large regional banks balancing legacy operations with digital transformation.
TBC runs Active Directory, Azure, AWS, Kubernetes, Docker, and monitoring stacks (Dynatrace, Prometheus, Grafana). Infrastructure includes VMware, Terraform, and ArgoCD for automation; development uses Python, Go, and GitLab.
TBC actively posts roles in Georgia (headquarters) and the United States. Open positions span 41 posted roles in the last 30 days across finance, support, ops, product, and engineering functions.
TBC'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.