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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Devops / Cloud Engineer - **Company:** Migx - **Location:** Laza, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Cloud Computing, Cloud Engineering, Data Infrastructure, Shard (Database Architecture), DevOps, Elasticsearch, Identity and Access Management, IT Management, Role-Based Access Control, Software Engineering, Cloud Monitoring, Retrieval-Augmented Generation, Large Language Models, Grafana, Database Optimization, Reliability of Systems, Generative AI, Amazon Virtual Private Cloud (VPC), Langfuse — LLM Observability and Analytics Platform, LangSmith, Kubernetes, Low Latency, Weaviate, Data Management, Terraform, OpenSearch - **Published:** October 8, 2026 - **Apply:** https://www.buscojobs.com.es/devops-cloud-engineer-en-laza-ID-375066704 ## About the Role 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 ## Description JD IDJD****Position NameDevOps / Cloud EngineerAbout the profileYou will act as a center of excellence, defining standards and best practices for research computing, developing standard tooling, and migrating existing codebases to standard models.You will work together with research scientists, providing them with scalable, secure, and efficient solutions to hard and onerous software engineering problems, allowing the scientists to concentrate on science, rather than things like service integration, containerization, database optimization, and cloud ops. You will partner with data and analytics platform team, ever improving the capabilities of the infrastructure to support research use cases.This is a hands-on role for people who enjoy untangling and re-engineering complex code bases, making hard integrations easy, and making other people's lives easier.ResponsibilitiesManage and operate Google Kubernetes Engine (GKE) clusters at platform level, including upgrades, dependency 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 have5+ 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 haveExperience with LangFuse or LangSmith for LLM observability.Background in regulated industries.Customer-facing experience in a consulting or professional services context.Experience in Life ScienceSeniority LevelSeniorLanguagesEnglish: B2+What we offerHybrid work model and flexible working schedule that would suit night owls and early birds25 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 usMIGx 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 problems for our clients in the areas of compliance, business processes and many others.MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance.