About the role
Descripción del empleo
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.
Cloud Building Blocks: AWS & Azure
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 machines & autoscaling — Azure: Azure Virtual Machines, VM Scale Sets | AWS: Amazon EC2, Auto Scaling Groups
* Virtual networking — Azure: VNet, NSGs, VNet Integration, Private Endpoints | AWS: VPC, Security Groups, PrivateLink
* L7 load balancing + WAF — Azure: Application Gateway + WAF | AWS: Application Load Balancer + AWS WAF
* Web app / API hosting — Azure: App Service | AWS: Elastic Beanstalk / App Runner
* Managed Kubernetes — Azure: AKS | AWS: EKS
* Message queues — Azure: Azure Storage — Queues | AWS: Amazon SQS
* Object storage — Azure: Azure Storage — Blobs | AWS: Amazon S3
* 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
* Transactional email — Azure: Azure Communication Services (Email) | AWS: Amazon SES
* Per-environment configuration — Azure: App Settings | AWS: Systems Manager Parameter Store / AppConfig
* Logs, metrics & alerts — Azure: Log Analytics / Azure Monitor | AWS: Amazon CloudWatch
* Runtime diagnostics — Azure: Kudu / App Service diagnostics | AWS: CloudWatch Logs Insights / SSM Session Manager
Requisitos
* 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.
* Automation-first mindset.
* 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.
* Scripting skills (Bash, Python).
* French — a huge plus (we can dream!).
Información adicional
* Participar en la aventura AI First de Septeo y descubrir nuevas formas de trabajar gracias a la inteligencia artificial. * Crecer y desarrollarse gracias a un itinerario de formación personalizado y a oportunidades de movilidad interna. * Vivir una experiencia humana, intercambiar y compartir en eventos temáticos como encuentros afterwork, actividades deportivas, iniciativas de RSC, seminarios y mucho más. * Unirse a un equipo que cuida de los demás y se compromete con la igualdad de oportunidades, la diversidad y la inclusión.