Infrastructure Software Engineer Jobs in Dallas, TX

Senior Software Engineer – Fleet Automation / GPU Infrastructure

Location: Dallas, TX
Work Model: Hybrid, 3 days onsite
Relocation: Available
Compensation: base + bonus
Benefits: 100% company-paid benefits
Employment Type: Direct Hire

Overview

Our client is seeking a Senior Software 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.
• Solid Linux systems knowledge, including:
• • Networking
  • Storage
  • Process management
  • System troubleshooting
  • Ubuntu and/or RHEL environments
• Experience building and maintaining CI/CD pipelines.
• Hands-on experience with production monitoring and observability platforms such as:
• • Prometheus
  • 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.
• Competitive base salary + bonus.
• 100% company-paid benefits.
• Relocation assistance available for candidates moving to Dallas.
• Hybrid schedule with three days per week onsite.

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