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

SmartRecruiters, Inc.; Benidoleig; Presencial; EUR 70.000 - 95.000; Jornada completa

Descripción de la vacante

SmartRecruiters, Inc. is seeking a seasoned DevOps/Cloud Engineer to design and maintain cloud infrastructure for a multi-tenant SaaS platform, operating across AWS and Azure. You will optimize containers, CI/CD, and IaC while ensuring high availability and security.

You will collaborate with backend teams and contribute to observability, monitoring, and disaster recovery strategies, using Grafana, ELK, and CloudWatch. Fluency in Spanish and English is required.

Formación

• 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).

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 (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 systems (ELK stack, Grafana dashboards and alerting, Azure Monitor / Log Analytics, CloudWatch).
• Operate, monitor, and tune Microsoft SQL Server databases (performance, backups, high availability).
• Collaborate with backend engineers to improve deployment patterns and runtime reliability.
• Automate operational processes and leverage AI-assisted tooling to improve efficiency.
• Participate in architectural discussions to ensure infrastructure scalability and resilience.

Conocimientos

AWS

Azure

Docker

Kubernetes

CI/CD

Terraform

Observability

Grafana

Networking

Security

Spanish

English

Herramientas

Jenkins

GitHub Actions

Bitbucket Pipelines

GitLab CI

ELK stack

Grafana

Azure Monitor

CloudWatch

Terraform

Descripción del empleo

We are building the next generation of AI-native software for the hospitality industry. Our platform powers complex, multi-tenant environments across multiple companies and product lines, operating in high-availability, high-performance scenarios.

Our systems handle critical operational workflows where uptime, scalability, and security are non-negotiable. As we evolve toward AI-native capabilities and intelligent automation, our infrastructure must be resilient, observable, and ready to scale dynamically.

We believe DevOps is not a support function — it is a core engineering discipline that enables product velocity, reliability, and innovation.

If you enjoy designing robust infrastructure, automating everything, and building platforms that engineers love to use, we’d love to meet you.

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!).

Why You’ll Love It Here

• High ownership and architectural impact.
• Cloud-native SaaS platform with real scale challenges.
• Opportunity to shape infrastructure evolution toward AI-native capabilities.
• International environment with technical autonomy.