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

SmartRecruiters, Inc.

Barcelona

Presencial

EUR 70.000 - 110.000

Jornada completa

hace 16 horas
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Descripción de la vacante

SmartRecruiters, Inc. is seeking a hands-on Cloud DevOps Engineer to design and evolve the cloud infrastructure for a multi-tenant SaaS platform.

You will work across AWS/Azure, optimize Kubernetes workloads, and build robust CI/CD pipelines while implementing Infrastructure as Code and security-by-design practices. You will collaborate with backend engineers to improve deployment patterns, reliability, and observability across distributed systems, ensuring high availability and scalable

Formación

  • 5+ years in DevOps/Cloud Engineering roles.
  • Hands-on experience with AWS or Azure; experience with both is a plus.
  • Deep knowledge of containerization and distributed systems in production.
  • Proven experience building and maintaining CI/CD pipelines.
  • Experience implementing Infrastructure as Code.

Responsabilidades

  • 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 with Jenkins, GitHub Actions, Bitbucket Pipelines, GitLab CI or similar.
  • Implement Infrastructure as Code (Terraform or similar).
  • Ensure high availability, disaster recovery, and backup strategies.
  • Improve monitoring, logging, and alerting with Grafana, ELK, CloudWatch, and other observability tools.
  • Collaborate with backend engineers to improve deployment patterns and runtime reliability.
  • Leverage AI-assisted tooling to improve operational efficiency.

Conocimientos

DevOps experience
Kubernetes
CI/CD pipelines
Infrastructure as Code
Observability
Distributed systems
AWS/Azure
Spanish & English

Herramientas

Docker
Terraform
Jenkins
GitHub Actions
GitLab CI
Grafana
CloudWatch
Azure Monitor
Kubernetes

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.

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 networking — Azure: VNet, NSGs, VNet Integration, Private Endpoints | AWS: VPC, Security Groups, PrivateLink
  • 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
  • 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.
  • 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.
  • French — a huge plus (we can dream!).
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