How You’ll Have Impact- Build the Platform Behind the Platform: Design and evolve the cloud infrastructure that powers our multi-tenant SaaS 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 DevSecOps 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, GitHub Actions, Bitbucket Pipelines, GitLab 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 CloudWatch 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 IaaS 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, PrivateLink- In-memory cache — Azure: Azure Cache for Redis | AWS: Amazon ElastiCache (Redis / Valkey)- Managed SQL Server — Azure: Azure SQL / SQL Managed Instance | AWS: Amazon RDS for SQL Server- Workload identity (secretless auth) — Azure: Managed Identity + DefaultAzureCredential | 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 DevOps / 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, GitHub Actions, Bitbucket Pipelines, GitLab 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 SaaS 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 DevSecOps practices.- Familiarity with AI/ML infrastructure requirements.- Experience with cost optimization strategies in cloud environments.- Knowledge of GitOps workflows.- Experience in multi-tenant SaaS platforms.- Hands-on experience with both AWS and Azure.- French — a huge plus (we can dream!).#J-18808-Ljbffr

📌 Senior Devops Engineer (Cloud-Native, Ai-Driven Platform) (Barcelona)
🏢 Smartrecruiters
📍 Barcelona