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

📌 Senior DevOps Engineer (Cloud-Native, AI-Driven Platform) (Barcelona)
🏢 Septeo ES
📍 Barcelona