Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior DevOps Engineer (AI): Managing and scaling cloud infrastructure for a leading AI video platform with an accent on Kubernetes orchestration, CI/CD optimization, and FinOps practices. Focus on building robust, maintainable systems in a high-traffic SaaS environment while collaborating with product engineers to ensure reliability and performance.
Location: Must be based in the UK, Germany, Switzerland, or Ireland (or other European locations subject to compliance).
Company
Synthesia is a world-leading AI video platform for business, backed by major investors and used by over 90% of the Fortune 100.
What you will do
- Maintain and scale Kubernetes (EKS) clusters at production scale.
- Manage and evolve AWS and GCP cloud environments, balancing reliability and cost.
- Own and improve CI/CD systems using GitHub Actions.
- Implement Infrastructure as Code using Terraform and Terragrunt.
- Strengthen observability via Datadog and enable teams to monitor production services.
- Drive FinOps practices, including vendor management and cost allocation.
Requirements
- Deep hands-on DevOps/SRE/Platform experience in a SaaS or high-traffic environment.
- Strong Kubernetes expertise, including cluster management.
- Proven AWS and/or GCP proficiency.
- Proficiency with Terraform, Terragrunt, Linux, and Python.
- Strong understanding of CI/CD design patterns.
- Must be based in Europe with valid right to work; full-time employment only (no contractors).
Nice to have
- Familiarity with Temporal.io or workflow orchestration frameworks.
- Light frontend or tooling development experience (React, Node.js).
- Previous work supporting AI research or data-intensive environments.
Culture & Benefits
- Focus on building and execution over meetings and politics.
- Work principles designed to empower autonomy and fast decision-making.
- Opportunity to work on state-of-the-art AI technologies at a high-growth company.
- Collaborative environment with a focus on developer experience.
Hiring process
- 30-minute call with a technical recruiter.
- 45-minute call with the engineering lead for Cloud Infra.
- Syntax-agnostic take-home assignment.
- 60-minute technical discussion and 30-minute leadership call.
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