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Senior DevOps Engineer

relocate.me • Spain
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Multiverse Computing seeks a Senior DevOps Engineer to own their AWS and Kubernetes platform, automate delivery pipelines, and set DevOps standards. Responsibilities include designing CI/CD pipelines, defining SLIs/SLOs, leading incident response, mentoring engineers, and supporting customer deployments in a fast-paced startup environment. Requires 5+ years of DevOps/SRE experience with production AWS, Terraform, Kubernetes (EKS), GitLab CI, Prometheus/Grafana, and strong scripting skills.

Key Highlights
Own AWS and Kubernetes platform design, operations, and DevOps standards.
Design CI/CD pipelines and implement release automation across cloud infrastructure.
Lead SRE practices including SLOs, incident response, observability, and capacity planning.
Key Responsibilities
Own the design and operation of the 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 and post-incident reviews
Take part in a planned support rotation and keep runbooks current
Mentor mid and junior engineers and review their infrastructure changes
Support deployment of the software stack to customer environments
Collaborate with the founding team in a fast-paced startup environment
Deliver reliably in a high-pressure environment with tight timelines and rapid reprioritization
Technical Skills Required
AWS Kubernetes Terraform
Benefits & Perks
Signing bonus
Relocation package
Private health insurance
Educational budget
Hybrid opportunity
Flexible working hours
Language classes
Discounted lunch options
Career plan
Nice to Have
Experience with microservice deployment and monitoring
Experience with different public cloud providers and hybrid environments
Database experience with SQL Server, MySQL, PostgreSQL or other
Experience designing and deploying infrastructure to support ML and data analytics solutions
Autoscaling with KEDA, Karpenter and GPU/LLM inference serving
Internal developer platforms and IAM / least-privilege design
Compliance-driven environments (ISO 27001, ENS)
Release management processes integrated with source control management

Job Description

About Multiverse Computing

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