Senior Go Engineer – GPU Infrastructure Automation

GTN Technical Staffing; Dallas (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

GTN Technical Staffing seeks a Senior Go Engineer to join the Fleet Automation team supporting large-scale HPC and GPU infrastructure. Hybrid work arrangement with three days onsite and relocation assistance available.

The role focuses on building backend services, automating deployment, and managing hardware lifecycle across a Linux environment. Candidates should have 5+ years in backend/backend automation and strong Go/C#/TypeScript experience.

Qualifications

• 5+ years of software engineering experience building production backend services or automation tooling.
• Experience designing APIs, backend services, and distributed/stateful systems.
• Experience with relational and/or NoSQL databases.
• Ubuntu and/or RHEL environments.
• Experience building and maintaining CI/CD pipelines.

Responsibilities

• Design and build fleet automation platforms for provisioning, configuration, validation, and lifecycle management of GPU and CPU compute nodes.
• Develop internal services and APIs to automate hardware deployment, imaging, remediation, and decommissioning.
• Build reliable backend services using Go, C#, and/or TypeScript.
• Design data models and persistent state for automation workflows using relational and NoSQL databases.
• Develop and maintain CI/CD pipelines for infrastructure and configuration changes.
• Automate hardware validation and testing across large-scale compute environments.
• Build observability, monitoring, dashboards, and alerting using Prometheus, Grafana, Alertmanager, and ELK.
• Partner with Infrastructure, Network, Operations, and Research teams to automate repeatable processes.
• Participate in on-call rotations and incident response.
• Identify systemic infrastructure issues and improve fleet reliability and scalability.

Skills

Go

C#

TypeScript

Education

Bachelor's degree

Tools

Prometheus

Grafana

Alertmanager

ELK

Kafka

Job description

Work Model: Hybrid, 3 days onsite

Relocation: Available

Compensation: base + bonus

Employment Type: Direct Hire

Overview

Our client is seeking a Senior Go Engineer to join its Fleet Automation team supporting large-scale HPC and GPU infrastructure.

This team builds the software, automation, and internal platforms used to provision, configure, monitor, and manage hundreds of high-performance GPU and CPU compute nodes. The environment sits at the intersection of software engineering, infrastructure, and distributed systems, with a strong focus on eliminating manual operational work through scalable automation.

This is a hands‑on engineering role for someone who enjoys building backend services while also understanding how those services interact with Linux systems, physical hardware, networking, storage, and GPU infrastructure.

What You’ll Do

• Design and build fleet automation platforms for provisioning, configuration, validation, and lifecycle management of GPU and CPU compute nodes.
• Develop internal services and APIs that automate hardware deployment, imaging, remediation, and decommissioning.
• Build reliable backend services using Go, C#, and/or TypeScript.
• Design data models and persistent state for automation workflows using relational and NoSQL databases.
• Develop and maintain CI/CD pipelines for infrastructure and configuration changes.
• Automate hardware validation and testing across large-scale compute environments.
• Build observability, monitoring, dashboards, and alerting using tools such as Prometheus, Grafana, Alertmanager, and ELK.
• Partner closely with Infrastructure, Network, Operations, and Research teams to identify operational pain points and automate repeatable processes.
• Participate in on‑call rotations and support incident response, root‑cause analysis, and post‑incident reliability improvements.
• Identify systemic infrastructure issues and develop engineering solutions that improve fleet reliability, efficiency, and scalability.

Required Experience

• 5+ years of software engineering experience building production backend services, infrastructure platforms, or automation tooling.
• Strong development experience with at least one of the following:
• Go
• C#
• TypeScript
• Experience designing APIs, backend services, and distributed or stateful systems.
• Strong experience with relational and/or NoSQL databases.
• Networking
• Storage
• Process management
• Ubuntu and/or RHEL environments
• Experience building and maintaining CI/CD pipelines.
• Hands‑on experience with production monitoring and observability platforms such as:
• Grafana
• Alertmanager
• ELK
• Strong troubleshooting and problem‑solving skills across both software and infrastructure environments.

Preferred Experience

• Experience supporting GPU, HPC, AI/ML, or large‑scale compute infrastructure.
• Familiarity with NVIDIA technologies such as:
• DCGM
• nvidia-smi
• NVIDIA Container Toolkit
• Experience with bare‑metal provisioning and hardware lifecycle automation.
• Exposure to event‑driven architectures and messaging platforms such as Kafka.
• Experience working with infrastructure, network, SRE, or platform engineering teams.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.

Why Consider This Opportunity?

• Work directly on large‑scale GPU and HPC infrastructure supporting advanced AI workloads.
• Build automation platforms that have direct impact on infrastructure reliability and scalability.
• Highly technical environment combining software engineering, systems engineering, and infrastructure automation.
• Relocation assistance available for candidates moving to Dallas.
• Hybrid schedule with three days per week onsite.