Staff Network Software Engineer (AI)

TL;DR

Staff Network Software Engineer (Go/Python): Building software to automate network operations and infrastructure for a full-stack AI cloud platform with an accent on safety, scalability, and observability. Focus on developing CI/CD workflows for network changes, telemetry pipelines, and integrating source-of-truth data into automation tools.

Location: Must be based in the United States

Salary: $179,500 - $224,300 USD

Company

hirify.global is building a full-stack AI cloud platform for the global AI economy, specializing in GPU orchestration and inference optimization.

What you will do

• Build and maintain services for the network lifecycle, including day-0 provisioning, drift detection, and operational verification.
• Develop CI/CD workflows, diff/review tooling, and staged rollouts to ensure safe and transparent network changes.
• Create scalable observability systems, telemetry pipelines, and tooling to accelerate incident investigation.
• Integrate source-of-truth data and expose APIs to close gaps between the network core and the cloud platform.
• Collaborate with network engineers and SREs to transform operational challenges into product-quality tooling.
• Lead large-scale projects, mentor junior colleagues, and contribute to high-level system architecture.

Requirements

• 5+ years of professional software engineering experience.
• Proficiency in Go (preferred) or Python.
• Must be authorized to work in the United States.
• Strong ownership mindset and ability to ship and operate reliable services.
• Strong interest in infrastructure and networking.

Nice to have

• Background in DC networking or certifications such as CCNP.
• Experience with "network-as-code" workflows, IaC, and CI/CD tooling.
• Low-level networking experience with eBPF/XDP, DPDK, or kernel networking.
• Experience designing high-load services and observability platforms.
• Contributions to open source software or experience debugging OSS components.

Culture & Benefits

• Competitive compensation package.
• Career growth and continuous learning opportunities.
• Collaborative and innovative culture with high levels of trust and ownership.
• Opportunity to work on impactful projects within the AI economy.
• International environment with access to talented global teams.