DevOps / Cloud Engineer

management, resource optimisation, and failure handling across multi-tenant environments. - Own and scale Weaviate vector database infrastructure, including cluster tuning, replication, sharding, and long-term operational stability in support of RAG-based AI systems. - Design and enforce security across the platform: GCP IAM, Workload Identity, VPC configuration, Private Service Connect, and Secret Manager. - Build and maintain end-to-end observability for LLM-based systems using Grafana, LangFuse, and LangSmith - covering performance, latency, token usage, and alerting. - Own infrastructure as code using Terraform, and manage GitOps workflows via ArgoCD or equivalent. - Take production ownership of the platform - not just initial deployment, but ongoing health, incident response, upgrades, and long-running system reliability. - Participate in customer-facing engagements including architecture reviews, technical discussions, and stakeholder meetings. - Support and mentor junior

engineers on platform standards and best practices. Requirements - Must have - 5+ years of hands-on experience in infrastructure or platform engineering. - Deep GKE and Kubernetes expertise: multi-cluster operations, RBAC, Workload Identity, node pool management, networking, and complex upgrades - at platform level, not single-application setups. - Proven experience operating multi-tenant shared infrastructure across teams or use cases. - Experience with Weaviate or comparable vector databases (Elasticsearch, Opensearch) in production, with understanding of retrieval systems and RAG architectures. - Strong GCP skills: IAM, VPC, Secret Manager, Cloud Monitoring, and GCP-native security practices. - Terraform and IaC experience with GitOps delivery (ArgoCD, Flux or equivalent). - Demonstrated production ownership: someone who has dealt with systems breaking, not just building them. Requirements - Nice to have - Experience with LangFuse or LangSmith for LLM observability. - Background in regulated industries. - Customer-facing experience in a consulting or professional services context. - Experience in Life Science Seniority Level - Senior. Languages - English: B2+ What we offer - Hybrid work model. - The role requires working in EST business hours. - 25 holiday days per year. - Possibilities of career development and the opportunity to shape the company’s future. - An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged. - Different training programs to support your personal and professional development. - Work in a fast-growing, international company. - Friendly atmosphere and supportive Management team. About us MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving