Septeo ES
Senior Devops Engineer (Cloud-Native, Ai-Driven Platform)
Senior DevOps engineer in Barcelona designing and running the AWS/Azure cloud infrastructure behind a multi-tenant SaaS platform: CI/CD pipelines, Kubernetes, Terraform IaC, observability (Grafana/ELK), SQL Server reliability, DevSecOps, and AI-assisted operations tooling.
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 5+ years of experience in DevOps / Cloud Engineering roles
- Strong hands-on experience with AWS or Azure (both is a strong plus)
- Production experience with Kubernetes; deep understanding of containerization and distributed systems
- Proven experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket Pipelines, GitLab CI or similar)
- Experience implementing Infrastructure as Code
- Hands-on 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
- Fluent Spanish and professional English (both required)
Nice to have
- Experience implementing DevSecOps practices
- Familiarity with AI/ML infrastructure requirements
- Experience with cloud cost optimization strategies
- Knowledge of GitOps workflows
- Experience in multi-tenant SaaS platforms
- Hands-on experience with both AWS and Azure
- Scripting skills (Bash, Python)
- French language skills
Full description
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