Platform/DevOps Engineer (AI)

TL;DR

Senior Platform/DevOps Engineer (AI): Designing, building, and scaling next-generation infrastructure for an AI-driven clinical platform with an accent on Terraform, Kubernetes, and GitOps implementations. Focus on architecting secure, performant environments, automating operations, and ensuring world-class security and compliance in a healthtech context.

Location: Hybrid in Barcelona

Company

hirify.global is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI, accelerating medical advancements and improving patient outcomes.

What you will do

• Architect, build, and maintain scalable cloud infrastructure using Terraform across GCP and multi-cloud environments.
• Design, deploy, and manage Kubernetes clusters for production-grade workloads, ensuring resilience, security, and observability.
• Implement GitOps workflows using ArgoCD or Flux, enabling fully automated, declarative deployments.
• Develop and manage CI/CD pipelines to support continuous delivery of microservices, data, and AI workloads.
• Collaborate closely with data, AI, and backend teams to design secure, performant environments.
• Continuously improve platform performance, security, and developer experience.

Requirements

• 5+ years of experience in DevOps, Platform Engineering, or Infrastructure roles.
• Proven expertise in Terraform (Infrastructure as Code) and modular architectures.
• Strong hands-on experience with Kubernetes (GKE preferred), including cluster design, scaling, networking, and observability.
• Practical experience with GitOps principles using ArgoCD or Flux for automated deployments.
• Solid understanding of CI/CD pipelines (GitLab, GitHub Actions, or similar).
• Strong scripting skills in Python, Bash, or Go.
• Experience managing cloud infrastructure in GCP, including IAM, VPC, CloudSQL, and Artifact Registry.
• Knowledge of container security, policy enforcement, and secret management.

Nice to have

• Experience with multi-environment setups and blue/green or canary deployments.
• Exposure to service meshes (Istio) and messaging systems (NATS).
• Understanding of compliance and security automation in regulated environments (SOC 2, ISO 27001, GxP).
• Experience integrating with AI/ML pipelines and data platforms (Vertex AI, Data Fusion, BigQuery).

Culture & Benefits

• Be part of a greenfield platform initiative to build from the ground up and define standards.
• Work in a fast-paced, iterative environment where experimentation and continuous improvement are core values.
• Collaborate with brilliant engineers and scientists building the future of AI in healthcare.
• Comprehensive private health coverage, company-sponsored gym membership, and wellness benefits.
• Hybrid work model offering flexibility to balance personal and professional life.
• Company events and retreats to celebrate milestones together.