
51 - 200 employees
Founded 1991
🔒 Cybersecurity
💳 Fintech
💰 $19.9M Venture Round on 2019-05
Cybersecurity • IT Services • Fintech
UFS Tech is the Technology Outfitter for Community Banks, providing tailored technology solutions and IT managed services that empower community banks to compete effectively with larger national banks. With over 30 years of expertise, UFS Tech focuses on cybersecurity, virtual firewall management, core banking, digital banking, and compliance solutions to help banks manage their technology needs efficiently and securely. The company is committed to collaboration, innovation, and delivering purpose-built solutions tailored to the unique requirements of community banks.
🔥 4 minutes ago
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51 - 200 employees
Founded 1991
🔒 Cybersecurity
💳 Fintech
💰 $19.9M Venture Round on 2019-05
Cybersecurity • IT Services • Fintech
UFS Tech is the Technology Outfitter for Community Banks, providing tailored technology solutions and IT managed services that empower community banks to compete effectively with larger national banks. With over 30 years of expertise, UFS Tech focuses on cybersecurity, virtual firewall management, core banking, digital banking, and compliance solutions to help banks manage their technology needs efficiently and securely. The company is committed to collaboration, innovation, and delivering purpose-built solutions tailored to the unique requirements of community banks.
• Design and own the Infrastructure-as-Code baseline that enables dedicated single-tenant or on-premises deployment with minimal per-customer effort • Stand up and operate Docker and Kubernetes (and K3s for small or in-bank installs), ingress, load balancing, and the CI/CD pipeline • Build and maintain the secrets and certificate story and the observability stack • Define environment promotion, release automation, and rollback procedures — making deployments boring and repeatable • Partner with Security on encryption, network isolation, and exam-ready hardening aligned to regulatory guidance • Right-size and operate GPU and inference infrastructure as the AI workload grows • Establish on-call, SLOs, and capacity planning practices ahead of beta scale-up • Document deployment architecture and operating procedures to support customer due diligence and audit readiness
• 8–12+ years building and operating production infrastructure, with 2+ years leading or setting direction for a platform or infrastructure function • Demonstrated experience shipping and operating software in customer-managed or on-premises environments — deploying and operating inside environments you do not control • Deep, hands-on Docker and Kubernetes in production (deployments, networking, storage, upgrades), plus strong Linux and networking fundamentals • Fluency with IaC and configuration management as a discipline — modules, state, idempotency, and reproducible images • A track record of making infrastructure reliable, secure, and automated rather than hand-tuned
• Typical office environment • Up to 20% travel time may be required
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