Cloud-Native Devops Engineer For Ai-Driven Saas Platform
DevOps engineer designing and operating the cloud platform behind a multi-tenant, AI-native SaaS product for the hospitality industry. Day to day: AWS/Azure infrastructure, Kubernetes and Docker, Terraform IaC, CI/CD pipelines, observability with Grafana/ELK, and Microsoft SQL Server and Redis operations.
- Compensation
- Not disclosed
- Location
- DENIA, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 5+ years of experience in DevOps / Cloud Engineering roles
- Strong hands-on experience with AWS or Azure (experience with both is a strong plus)
- Production experience in Kubernetes
- Deep understanding of containerization and distributed systems
- Proven experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket Pipelines, GitLab CI or similar)
- Experience implementing Infrastructure as Code (Terraform or similar)
- 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 (Java/Kotlin, C#, Node.js)
- Fluent Spanish and professional English (both required)
- Hands-on experience with at least one technology in each area: cloud provider (AWS/Azure), containers & orchestration, CI/CD, IaC, observability, databases & caching
Nice to have
- Experience implementing DevSecOps practices
- Familiarity with AI/ML infrastructure requirements
- Experience with cloud cost optimization strategies
- Knowledge of GitOps workflows
- Experience in multi-tenant SaaS platforms
- Hands-on experience with both AWS and Azure
- French language skills
Full description
We are building the next generation of AI-native software for the hospitality industry. Our platform powers complex, multi-tenant environments across multiple companies and product lines, operating in high-availability, high-performance scenarios.
Our systems handle critical operational workflows where uptime, scalability, and security are non-negotiable. As we evolve toward AI-native capabilities and intelligent automation, our infrastructure must be resilient, observable, and ready to scale dynamically.
We believe DevOps is not a support function — it is a core engineering discipline that enables product velocity, reliability, and innovation.
If you enjoy designing robust infrastructure, automating everything, and building platforms that engineers love to use, we’d love to meet you.
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.