Senior Forward-Deployed Infra Engineer for Enterprise Deployments

True Talent Solutions Partners; United States; Hybrid; USD 200,000 - 300,000; Full time

Job summary

True Talent Solutions Partners is seeking an infrastructure engineer to lead deployments of machine learning software in enterprise environments, spanning cloud VPCs to on-premises infrastructure. You will work directly with customer engineering teams to solve deployment challenges, build scalable patterns, and own end-to-end responsible deployments in fast-growing settings.

This role requires hands-on Kubernetes, Terraform, and cloud provider experience, plus strong collaboration with IT and

Qualifications

• 3+ years of infrastructure engineering, DevOps, or SRE experience with production ownership.
• Hands-on with Kubernetes, Terraform and cloud providers (AWS, GCP, or Azure).
• Experience deploying software into customer-controlled environments (VPC/on-prem).
• Strong troubleshooting and communication with external customer teams.
• Proficiency in Python and familiarity with GPU infrastructure and deployment tooling.

Responsibilities

• Plan, configure, test, and roll out deployments across customer VPC and on-prem environments.
• Partner with customer IT, security, and platform teams and communicate with engineers and leaders.
• Diagnose and resolve Kubernetes configuration, cloud IAM, networking issues in real time.
• Build monitoring, telemetry, and automation to scale deployments.
• Understand hardware needs of ML models and deploy on customer-controlled infrastructure.

Skills

Kubernetes

Terraform

AWS/GCP/Azure

Python

Linux

Networking

SRE/DevOps

Communication

Tools

Docker

Helm

KOTS

Cloud IAM

Job description

True Talent Solutions Partners is seeking an infrastructure engineer to lead deployments of machine learning software in enterprise environments, spanning cloud VPCs to on-premises infrastructure. You will work directly with customer engineering teams to solve deployment challenges, build scalable patterns, and own end-to-end responsible deployments in fast-growing settings.

This role requires hands-on Kubernetes, Terraform, and cloud provider experience, plus strong collaboration with IT and