Cloud Senior DevOps Engineer (AI)

Location: Remote within San Jose, California, or Austin, Texas

Company

hirify.global develops Bitcoin mining infrastructure, AI computational infrastructure, and cloud capabilities for high-demand artificial intelligence workloads.

What you will do

• Design, implement, and maintain end-to-end GitLab-based CI/CD and MLOps pipelines for software applications and machine-learning models.
• Build and scale Kubernetes- and Docker-based cloud-native infrastructure, including specialized GPU clusters for AI workloads and model inference.
• Own high-availability architecture, disaster recovery, self-healing, capacity planning, and production performance tuning.
• Automate reproducible infrastructure provisioning across cloud environments with Terraform, Ansible, and Helm.
• Build observability systems using monitoring, logging, alerting, and AI model telemetry.
• Develop the Internal Developer Platform, improve deployment workflows, enforce security and compliance standards, and lead major incident resolution.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field, plus 5+ years of hands-on DevOps, SRE, or cloud infrastructure experience.
• Expert knowledge of Linux and networking fundamentals, including TCP/IP, DNS, HTTP, load balancing, and VPCs.
• Deep production-level expertise with Docker and Kubernetes.
• Experience designing and managing infrastructure on public or hybrid cloud platforms such as AWS, GCP, Azure, or Alibaba Cloud, including multi-cloud strategies.
• Strong programming or scripting skills in at least one major language, such as Go, Python, or Shell.
• Practical understanding of CI/CD, infrastructure as code, observability, and SRE principles, with strong problem-solving and cross-team communication skills.

Nice to have

• Experience with MLOps, model serving or inference frameworks such as vLLM, TGI, or Triton Inference Server, and GPU cluster management.
• Experience with large-scale distributed systems, Internal Developer Platforms, Zero Trust, DevSecOps, SOC 2, or ISO 27001.
• Technical leadership, mentoring, or DevOps team management experience.
• Experience applying LLM-driven automation to code, configuration, pipelines, or incident response.

Culture & Benefits

• Work on infrastructure connecting AI research, data science, product development, and production operations.
• Emphasis on paved roads, golden paths, automation, and developer autonomy.
• Focus on turning incidents, tickets, and manual runbooks into durable automation.
• Collaboration across R&D, Data Science, Security, and Business teams.