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

Posted Oct 30

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

📋 Description

• Design and enhance the cloud infrastructure that supports a multi-tenant SaaS ecosystem.

• Optimize CI/CD pipelines, improve developer experience, and automate deployment processes.

• Ensure high availability, performance, and real-time visibility within distributed systems.

• Create infrastructure that accommodates growth, AI workloads, and distributed services.

• Implement reproducible, versioned, and automated Infrastructure as Code practices.

• Apply DevSecOps best practices throughout the delivery lifecycle.

• Design, implement, and maintain cloud infrastructure in AWS and/or Azure environments.

• Manage and optimize containerized workloads utilizing Docker and Kubernetes.

• Develop and enhance CI/CD pipelines.

• Ensure high availability, implement disaster recovery strategies, and manage backup solutions.

• Enhance monitoring, logging, and alerting systems.

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

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

• Collaborate with backend engineers proficient in Java/Kotlin, C#, and Node.js.

• Automate operational processes to minimize manual intervention.

• Utilize AI-assisted tools to enhance operational efficiency.

• Engage in architectural discussions concerning infrastructure scalability and resilience.


⛳️ Requirements

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

• Strong practical experience with AWS or Azure; familiarity with both is highly beneficial.

• In-depth knowledge of containerization and distributed systems, with production experience in Kubernetes (mandatory).

• Proven track record of building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, Bitbucket Pipelines, GitLab CI, or similar platforms.

• Experience in implementing Infrastructure as Code methodologies.

• Hands-on experience with Microsoft SQL Server, including administration, performance tuning, and high availability setups.

• 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.

• Comprehensive understanding of observability, monitoring, and incident management, including Grafana dashboards and alerting systems.

• Automation-first approach to problem-solving.

• Experience collaborating with backend engineering teams.

• Fluent in Spanish and proficient in professional English (both required).

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

• Experience in 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.

• Practical experience with both AWS and Azure.

• Scripting skills in Bash and Python.


🏝️ Benefits

• Participate in Septeo's AI First adventure and discover innovative ways to work through artificial intelligence.

• Grow and develop through a personalized training itinerary and internal mobility opportunities.

• Experience a supportive environment with opportunities to connect and share at themed events such as afterwork meetups, sports activities, CSR initiatives, seminars, and more.

• Join a team that cares for each other and is committed to equal opportunities, diversity, and inclusion.

• Remote work options available.

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