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

How Youll 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 Youll 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# ) 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 dont 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 youll 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 

Qualifications :

• 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 dont 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.

Remote Work :

Yes

Employment Type :

Full-time