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

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, develop, and manage cloud infrastructure within AWS and/or Azure.

• Oversee and enhance containerized workloads utilizing Docker and Kubernetes.

• Construct and refine CI/CD pipelines.

• Execute Infrastructure as Code using Terraform or similar tools.

• Ensure systems are highly available, with robust disaster recovery and backup strategies.

• Enhance monitoring, logging, and alerting frameworks using observability tools like ELK, Grafana, Azure Monitor, Log Analytics, and Amazon CloudWatch.

• Operate, monitor, and optimize Microsoft SQL Server databases.

• Maximize system performance, scalability, and cost-effectiveness.

• Collaborate with backend engineers experienced in Java/Kotlin, C#, and Node.js to enhance deployment patterns and runtime reliability.

• Automate operational processes to minimize manual intervention.

• Utilize AI-assisted tools such as Claude, Codex, automation agents, and anomaly detection systems.

• Engage in architectural discussions to ensure infrastructure scalability and resilience.

• Design and develop cloud infrastructure to support a multi-tenant SaaS ecosystem.

• Enhance CI/CD pipelines, developer experience, and deployment automation.

• Promote reliability, observability, high availability, performance, and real-time visibility across distributed systems.

• Integrate DevSecOps best practices throughout the delivery lifecycle.

⛳️ Requirements

• Over 5 years of experience in DevOps / Cloud Engineering roles.

• Strong hands-on experience with AWS or Azure; familiarity with both is a significant advantage.

• In-depth knowledge of containerization and distributed systems.

• Production-level experience with Kubernetes (mandatory).

• Demonstrated experience in building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, Bitbucket Pipelines, GitLab CI, or similar platforms.

• Experience in implementing Infrastructure as Code.

• Practical experience with Microsoft SQL Server administration, performance tuning, backup/restore, and high availability.

• Production experience with Redis for caching, session storage, and pub/sub functionalities.

• Strong understanding of networking, security, and system architecture.

• Experience in high-availability SaaS environments.

• Solid grasp of observability, monitoring, and incident management, including the use of Grafana dashboards and alerting mechanisms.

• Automation-first mindset.

• Proven ability to collaborate effectively with backend engineering teams.

• Proficiency in Spanish and professional-level English; both are required.

• Substantial hands-on experience with at least one technology in each area: cloud provider, containers and orchestration, CI/CD, Infrastructure as Code, observability, and databases and caching.

• Experience in implementing DevSecOps practices.

• Familiarity with AI/ML infrastructure requirements.

• Knowledge of cloud cost optimization strategies.

• Understanding of GitOps workflows.

• Experience with multi-tenant SaaS platforms.

• Hands-on experience with both AWS and Azure.

• Scripting skills in Bash or Python.

• Proficiency in French is a plus.

🏝️ Benefits

• High ownership and significant architectural impact.

• Cloud-native SaaS platform presenting real scalability challenges.

• Chance to influence infrastructure evolution towards AI-native capabilities.

• Cross-functional, product-driven engineering culture.

• International environment fostering technical autonomy.

• Tailored training pathways and development opportunities.

• Internal mobility options available.

• Social activities including afterwork gatherings, sports, CSR initiatives, seminars, and various themed events.

• Commitment to equality of opportunity, diversity, and inclusion.