Senior DevOps Engineer (Cloud-Native, AI-Driven Platform)

Septeo es un actor europeo líder en el sector del software con presencia internacional, reconocido como uno de los cinco principales proveedores de software vertical en Francia. En plena fase de rápido crecimiento y transformación constante, el grupo se ha consolidado como un referente en la industria del software, impulsado por la fortaleza de unos equipos decididos, audaces y comprometidos.

En Septeo, la inteligencia artificial es el eje de nuestra evolución. La entendemos como un motor de rendimiento sostenible, colaboración e innovación, integrada de manera responsable en las prácticas cotidianas y democratizada en todas nuestras áreas de negocio. Nuestra ambición es clara: «crear software inteligente para Europa».

Nuestra cultura se cimenta en valores sólidos: ser, hacer y transformar juntos. No es una cultura estática; se vive día a día en nuestras acciones y decisiones, logrando un equilibrio entre rendimiento, responsabilidad y disfrute.

Esta ambición se refleja en nuestra labor diaria: diseñar software que acompaña los momentos esenciales de la vida, al servicio de millones de ciudadanos. Desempeñar un papel en estos momentos clave conlleva una gran responsabilidad. Es una responsabilidad que asumimos con orgullo y que pronto podría ser también la tuya.

Unirse a Septeo significa formar parte de un proyecto colectivo internacional, impulsar la transformación del grupo en un entorno de rápida evolución y convertir la IA en un motor tangible de creación de valor, tanto en el presente como en el futuro.

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

• 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!).

• 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.