How You'll Have Impact Build the Platform Behind the Platform: Design and evolve the cloud infrastructure that powers our multi-tenant Saa S ecosystem.

Enable Engineering Velocity: Improve CI/CD pipelines, developer experience, and deployment automation.

Drive

Reliability & Observability: Ensure high availability, performance, and real-time visibility across distributed systems.

Architect for Scale: Design infrastructure that supports growth, AI workloads, and distributed services.

Champion Infrastructure as Code: Everything reproducible, versioned, and automated.

Embed Security by Design: Implement Dev Sec Ops best practices across the delivery lifecycle.

What You'll Do

Design, implement, and maintain cloud infrastructure in AWS and/or Azure. Manage and optimize containerized workloads using Docker and Kubernetes. Build and evolve CI/CD pipelines (Jenkins, Git Hub Actions, Bitbucket Pipelines, Git Lab CI or equivalent). Implement Infrastructure as Code (Terraform or similar). Ensure high availability, disaster recovery, and backup strategies.

Improve monitoring, logging, and alerting systems (ELK stack, Grafana dashboards and alerting, Azure Monitor / Log Analytics, Amazon Cloud Watch and other observability tools). Operate, monitor, and tune Microsoft SQL Server databases (performance, backups, high availability). Optimize system performance, scalability, and cost efficiency.

Collaborate closely with backend engineers (Java / Kotlin, C#, Node.js) to improve deployment patterns and runtime reliability. Automate operational processes and reduce manual intervention.

Leverage AI-assisted tooling (Claude,



Codex, automation agents, anomaly detection systems) to improve operational efficiency. Participate in architectural discussions to ensure infrastructure scalability and resilience. You don't just maintain infrastructure — you engineer the reliability of the business.

We run workloads on both AWS and Azure. We are looking for solid hands-on experience with Iaa S and core managed cloud services on at least one of them — knowing the equivalent on the other cloud is a strong plus. These are the building blocks you'll work with: Virtual networking —

Azure: VNet, NSGs, VNet Integration, Private Endpoints |

AWS: VPC, Security Groups, Private Link In-memory cache —

Azure: Azure Cache for Redis |

AWS: Amazon Elasti Cache (Redis / Valkey) Managed SQL Server —

Azure: Azure SQL / SQL Managed Instance |

AWS: Amazon RDS for SQL Server Workload identity (secretless auth) —

Azure: Managed Identity + Default Azure Credential |

AWS: IAM Roles (instance profiles, IRSA) + SDK default credential chain Secrets & keys —

Azure: Key Vault |

AWS: AWS Secrets Manager / KMS 5+ years of experience in Dev Ops / Cloud Engineering roles.



Strong hands-on experience with AWS or Azure — experience with both is a strong plus. Deep understanding of containerization and distributed systems, with production experience in Kubernetes (required). Proven experience building and maintaining CI/CD pipelines (Jenkins, Git Hub Actions, Bitbucket Pipelines, Git Lab CI or similar). Experience implementing Infrastructure as Code.

Hands-on experience with Microsoft SQL Server (administration, performance tuning, backup/restore, high availability). Experience with Redis in production (caching, session storage, pub/sub). Strong knowledge of networking, security, and system architecture. Experience working in high-availability Saa S environments. Solid understanding of observability, monitoring, and incident management, including Grafana dashboards and alerting. Experience collaborating with backend engineering teams.

Languages: fluent Spanish and professional English (both required). We don't expect you to master every tool listed above, but we do expect solid hands-on experience with at least one technology in each area: cloud provider (AWS / Azure), containers & orchestration, CI/CD, Infrastructure as Code, observability, and databases & caching.

Nice-to-Have

Superpowers Experience implementing Dev Sec Ops practices. Familiarity with AI/ML infrastructure requirements. Experience with cost optimization strategies in cloud environments. Knowledge of Git Ops workflows. Experience in multi-tenant Saa S platforms. Hands-on experience with both AWS and Azure. French — a huge plus (we can dream!).

📌 Senior devops engineer (cloud-native, ai-driven platform) (Barcelona)
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📍 Barcelona