Lead GCP DevOps Engineer (AI)

TL;DR

Lead GCP DevOps Engineer (AI): Designing and operating scalable cloud-native infrastructure for AI-enabled platforms with an accent on Kubernetes, IaC, and GPU-based workload optimization. Focus on building secure CI/CD pipelines, driving architectural decisions, and mentoring engineering teams to ensure high operational resilience.

Location: Must be based in Poland (Remote/Hybrid)

Company

hirify.global is a global digital solutions company providing software development and consulting services.

What you will do

• Design, build, and operate scalable, secure cloud infrastructure on GCP.
• Lead migration initiatives to GCP while ensuring service continuity and cost optimization.
• Develop and manage infrastructure using Terraform and IaC best practices.
• Deploy and optimize containerized applications using Kubernetes and Docker.
• Collaborate with AI/ML teams to support GPU-based infrastructure and AI workloads.
• Mentor team members and contribute to engineering best practices.

Requirements

• Strong hands-on experience in DevOps, Platform Engineering, or SRE.
• Proven experience operating solutions on Google Cloud Platform (GCP).
• Strong experience with Kubernetes (GKE) and Docker in production.
• Proficiency in scripting with Python, Go, or Bash.
• English: Upper-Intermediate (B2) or higher required.
• Experience with CI/CD tools like GitHub Actions or Argo CD.

Nice to have

• Experience supporting AI/ML platforms like Vertex AI, Kubeflow, or MLflow.
• Familiarity with NVIDIA technologies, GPU Operator, and CUDA.
• Experience in designing infrastructure architectures.
• Experience migrating enterprise workloads between clouds.

Culture & Benefits

• Opportunity to work on global, high-impact AI-enabled projects.
• Collaborative environment with experienced architects and engineers.
• Focus on professional growth, technical leadership, and mentoring.
• Flexible work arrangements with remote and hybrid options.