Lead Platform Infrastructure Engineer

UFS LLC • Remote, US,

3d • Hybrid

About The Position

The Lead Platform & Infrastructure Engineer owns how the Navanta platform is built, shipped, and operated — on-premises or as a dedicated single-tenant deployment inside each bank’s environment. Working under the SVP of Technology and Commercial AI and in close collaboration with security, data, and AI/ML teams, this role is the deployment moat: the person who makes it possible to ship the identical Navanta platform inside a regulated institution’s own infrastructure, cleanly and repeatably, at a cost that scales.

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
• Bachelor’s degree in computer science, information systems, or a related technical field, or equivalent hands-on experience

Nice To Haves

• Prior experience deploying software into regulated or air-gapped customer environments (banking, healthcare, or government)
• Experience with Kubernetes network policy, namespace isolation, and multi-environment rollout strategies
• GPU scheduling and cost optimization for model inference
• Experience in the financial services industry or a regulated technology environment strongly preferred

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree