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.

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!).

Why You’ll Love It Here

High ownership and architectural impact.

Cloud-native SaaS platform with real scale challenges.

Opportunity to shape infrastructure evolution toward AI-native capabilities.

International environment with technical autonomy.

#J-18808-Ljbffr

📌 Senior DevOps Engineer (Cloud-Native, AI-Driven Platform) (Madrid)
🏢 Smartrecruiters
📍 Madrid