Senior Infrastructure Software Engineer

Senior Infrastructure Software Engineer

Location: Dallas, TX

Work Model: Hybrid, 3 Days Onsite

Employment Type: Direct Hire

Relocation: Available for qualified non-local candidates

Compensation: Competitive Base Salary + Performance Bonus

Benefits: 100% Company-Paid Benefits

Overview

Our client is seeking a Senior Infrastructure Software Engineer to build the software, automation, and internal platforms used to provision, configure, monitor, and manage large-scale GPU and CPU compute infrastructure.

This is a software-first engineering role operating at the intersection of backend development, infrastructure automation, Linux systems, distributed systems, and high-performance compute.

The ideal candidate enjoys building production-quality services and APIs while also understanding how software interacts with physical hardware, networking, storage, and GPU infrastructure.

Key Responsibilities

• Design and build automation platforms for provisioning, configuration, validation, and lifecycle management of GPU and CPU compute nodes.
• Develop backend services and APIs for hardware deployment, imaging, remediation, and decommissioning.
• Build reliable software using Go, C#, TypeScript, or similar backend languages.
• Design data models and persistent state for infrastructure automation workflows.
• Develop and maintain CI/CD pipelines for infrastructure and configuration changes.
• Automate hardware validation and testing across large compute environments.
• Build monitoring, observability, dashboards, and alerting using Prometheus, Grafana, Alertmanager, ELK, or similar tools.
• Partner with Infrastructure, Network, Operations, and Research teams to automate operational workflows.
• Participate in incident response, root-cause analysis, and reliability improvement efforts.
• Identify systemic infrastructure issues and develop software solutions that improve scalability and reliability.

Required Qualifications

• 5+ years of software engineering experience building backend services, infrastructure platforms, or automation tooling.
• Strong development experience with Go, C#, TypeScript, or another modern backend language.
• Experience designing APIs, backend services, and distributed or stateful systems.
• Strong experience with relational and/or NoSQL databases.
• Strong Linux knowledge, including networking, storage, process management, and system troubleshooting.
• Experience with Ubuntu and/or RHEL environments.
• Experience building and maintaining CI/CD pipelines.
• Hands-on experience with production monitoring and observability platforms.
• Strong troubleshooting and problem-solving skills across software and infrastructure environments.

Preferred Experience

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

Ideal Candidate

The ideal candidate is a software engineer first with strong backend development skills and enough infrastructure depth to build automation for complex, large-scale compute environments.

The strongest profiles will combine software engineering, Linux systems, distributed infrastructure, automation, and observability, with GPU or HPC experience considered a strong plus.