Fleet Automation Engineer - Scalable Infra (Hybrid)

Glocomms; Dallas (TX); Hybrid; USD 250,000 - 300,000; Full time

Job summary

Glocomms is seeking a Software Engineer to design and build automation that powers large-scale compute infrastructure in Dallas. You will develop backend services and internal tools to streamline provisioning, configuration, and management of fleets of compute nodes.

In this role you will implement robust CI/CD pipelines, improve observability, and collaborate with infrastructure teams to tackle complex reliability challenges at scale.

Qualifications

• 5+ years of software engineering experience building backend services, platform tooling, or infrastructure automation solutions.

Responsibilities

• Design and develop automation platforms that provision, configure, and manage large-scale compute infrastructure.
• Build backend services, APIs, and internal tools that eliminate manual processes and improve operational efficiency.
• Create reliable, scalable systems using modern software engineering practices.
• Develop and enhance CI/CD pipelines supporting infrastructure and automation workflows.
• Improve observability through monitoring, alerting, dashboards, and fleet health reporting.
• Partner closely with infrastructure, networking, and operations teams to solve complex technical challenges.
• Participate in incident response and drive long-term reliability improvements across critical systems.

Skills

Backend development

Infrastructure automation

Problem solving

Tools

Go

C#

TypeScript

Linux

CI/CD

Databases (SQL/NoSQL)

Monitoring

Job description

Glocomms is seeking a Software Engineer to design and build automation that powers large-scale compute infrastructure in Dallas. You will develop backend services and internal tools to streamline provisioning, configuration, and management of fleets of compute nodes.

In this role you will implement robust CI/CD pipelines, improve observability, and collaborate with infrastructure teams to tackle complex reliability challenges at scale.