Lead Platform Infrastructure Engineer

Job not on LinkedIn

🕒 July 15

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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UFS Tech

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏦 Banking

💳 Fintech

🔒 Cybersecurity

💰 $19.9M Venture Round - UFS on 2019-05

Banking • Fintech • Cybersecurity

UFS Tech is a technology and services provider focused on empowering community banks. It delivers core banking and digital banking platforms, payments, cash management, and customer engagement tools alongside managed IT services (private cloud, hosted email, end-user support), cybersecurity offerings (virtual firewall management, vulnerability management, SureProtect/SureWatch), backup and disaster recovery, document imaging and delivery, and advisory services for IT, information security, and regulatory compliance. UFS positions itself as a partner to community banks, offering purpose-built, modular solutions and professional services to help banks operate securely, meet regulatory requirements, and grow customer relationships.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Typical office environment • Up to 20% travel time may be required