Devops engineer

Multiverse Computing is an AI model provider leader in AI model compression. Its compressed AI models use techniques derived from quantum computing, enabling the smooth implementation of large AI language models and other systems with more than half the cost and energy consumption without sacrificing performance. With a global presence, its headquarters are located in Donostia-San Sebastián, Spain, with offices in Canada, the United Kingdom, France, Germany, Italy, Qatar and the United States.

• Own the design and operation of our AWS and Kubernetes platform, and set DevOps standards for the team.
• Work with development and operations teams to automate software delivery processes.
• Identify and implement tools and processes to improve software development and delivery.
• Define and track SLIs/SLOs, alerting and error budgets for production services, and lead incident response, post-incident reviews and follow-up actions.
• Take part in a planned, scheduled support rotation and keep runbooks current.
• Mentor mid and junior engineers and review their infrastructure changes.
• Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience.
• Support deployment of our software stack to customer environments.
• Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
• Collaborate with the founding team in a fast-paced startup environment.
• Deliver reliably in a high-pressure, fast-paced environment with many concurrent demands and tight timelines, planning in 30-day sprints and re-planning quickly when priorities change.

• 5+ years of experience in DevOps, platform or SRE roles.
• Bachelor’s degree in Computer Engineering, Computer Science, or related field;
• Production experience on AWS, with infrastructure as code in Terraform (state, modules, and reviewed plan/apply through pipelines).
• CI/CD pipeline design, preferably GitLab CI (plus GitHub Actions or Jenkins), and release automation with a tool such as Octopus Deploy.
• Operating Kubernetes (EKS) in production, with Helm and GitOps (ArgoCD).
• Observability with Prometheus and Grafana: dashboards, alert design, and reducing alert noise.
• SRE practice: SLOs, incident management, capacity planning, and root-cause analysis.
• Proficiency with one or more programming languages (Bash, Python, Go, etc).
• Proven ability to troubleshoot and identify the root cause of infrastructure, networking and security issues.
• Good communication and collaboration skills.
• Будет плюсом: Experience with microservice deployment and monitoring; Experience working with different public cloud providers and hybrid environments; Database experience with SQL Server, MySQL, PostgreSQL or other; Experience designing and deploying infrastructure to support machine learning and data analytics solutions; Autoscaling (KEDA, Karpenter) and GPU/LLM inference serving (vLLM, SkyPilot, RunAI); Internal developer platforms (Backstage) and IAM / least-privilege design; Compliance-driven environments (ISO 27001, ENS); Experience creating and administering release management processes and integration with source control management and best practices

• Equal pay guaranteed
• Signing bonus
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Flexible remuneration (Employees in Spain only): hospitality and public transportation
• Language classes and discounted lunch options
• A high-performance, collaborative environment, operating at pace on cutting-edge technologies.
• Career plan. Opportunity to learn and teach.