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

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.