DevOps – AI Factory

Location: Hybrid and flexible work environment; specific office location is not stated.

Company

hirify.global is a global video technology company providing live, on-demand, and real-time video solutions for organizations.

What you will do

• Lead DevOps and platform initiatives from design through implementation and production rollout.
• Design, build, and operate highly available distributed systems across AWS, GCP, and NeoCloud providers.
• Develop and maintain the platform stack with Kubernetes, Docker, Helm, CI/CD, automation, data, caching, and messaging layers.
• Build and operate infrastructure for AI workloads, including GPU inference platforms.
• Modernize and consolidate technology stacks into a unified platform.
• Drive reliability, monitoring, observability, and complex issue resolution across application, infrastructure, networking, operating system, and data layers.

Requirements

• At least 2 years of hands-on experience in DevOps, Platform, or SRE roles operating distributed production systems at scale.
• At least 2 years of experience with cloud inference services, NeoClouds, and AI Factory systems using KubeFlow, Ray, or similar technologies.
• At least 2 years of hands-on experience with GPU inference technologies such as vLLM, SGLang, or Nvidia Triton.
• Deep expertise in multicloud AWS/GCP/NeoCloud environments and Infrastructure as Code with Terraform or similar tools.
• Strong Kubernetes and Helm expertise, including Kubernetes internals, production operations, Docker, networking, Linux, TCP/IP, DNS, and load balancing.
• Strong experience with GitHub Actions, CI/CD, automation, monitoring, observability, Prometheus, and Grafana, plus proficiency with current AI coding tools.

Nice to have

• Familiarity with AI evaluation and AI observability systems such as Opik, OpenEval, or LangSmith.

Culture & Benefits

• Hybrid and flexible work environment.
• Extended private health insurance, including mental health coverage.
• Personal and professional development programs.
• Occasional cross-company long weekends.