Cloud Service Security Platform DevOps & Maintenance (AI)

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

Company

hirify.global Technologies Group builds Bitcoin mining infrastructure, AI computational infrastructure, data centers, and cloud capabilities for high-demand artificial intelligence workloads.

What you will do

• Design, implement, and maintain CI/CD pipelines for software applications and machine learning models, including automated testing, deployment, rollback, and release workflows.
• Build and scale cloud-native infrastructure with Kubernetes and Docker, including specialized GPU clusters for AI workloads and model inference.
• Provision reproducible multi-cloud infrastructure with Terraform, Ansible, Helm, and other infrastructure-as-code tools.
• Design high-availability architecture, disaster recovery, self-healing mechanisms, capacity planning, and performance tuning for production systems.
• Build monitoring, logging, and alerting systems with Prometheus, Grafana, and ELK/EFK, including telemetry for AI model metrics.
• Collaborate with R&D, data science, security, and business teams; lead incident response, root-cause analysis, and preventative automation.

Requirements

• Bachelor's degree or above in Computer Science, Engineering, or a related technical field, plus 5+ years of DevOps, SRE, or cloud infrastructure experience.
• Expert knowledge of Linux and networking principles, including TCP/IP, DNS, HTTP, load balancing, and VPCs.
• Deep production experience with Docker and Kubernetes orchestration.
• Experience designing and managing infrastructure on public or hybrid cloud platforms such as AWS, GCP, Azure, or Alibaba Cloud.
• Strong programming or scripting skills in Go, Python, Shell, or another major language, with an automation-focused engineering mindset.
• Practical knowledge of CI/CD, infrastructure as code, observability, SRE, security standards, Zero Trust access controls, secrets management, and compliance frameworks such as SOC 2 or ISO 27001.

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, high-concurrency environments, or AI platforms.
• Internal Developer Platform design, DevSecOps, automated security testing, or Zero Trust architecture experience.
• Technical leadership, mentoring, or DevOps team management experience.
• Experience integrating LLM-driven code or configuration assistance into engineering pipelines.

Culture & Benefits

• Full-time position within an AI Cloud team building infrastructure for AI products.
• Work focused on developer autonomy through paved roads, golden paths, and automated tooling.
• Cross-functional collaboration across engineering, data science, security, and business teams.
• Equal employment opportunity in accordance with applicable country, state, and local laws.