DevOps / Cloud Engineer

Migx
Barcelona, Spain
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Compensation
€50,000.0 - €62,000.0
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Automated Storage and Retrieval Systems Cloud Computing Cloud Engineering Shard (Database Architecture) DevOps Elasticsearch Identity and Access Management Role-Based Access Control Software Engineering AI Infrastructure Cloud Monitoring Large Language Models
+7 more
Grafana Database Optimization Reliability of Systems Amazon Virtual Private Cloud (VPC) Kubernetes Low Latency Terraform

Job description

You 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.

Responsibilities

  • Manage 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., + Hybrid work model and flexible working schedule that would suit night owls and early birds
  • 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.

Requirements

  • 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+

About the company

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 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.Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

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