
501 - 1000 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
🔥 Funding within the last year
💰 $200M Series E - Synthesia on 2025-10
Artificial Intelligence • SaaS • B2B
<Synthesia> Synthesia is a SaaS AI video platform that enables businesses to create studio-quality videos without cameras, microphones, actors, or studios by using AI avatars and synthetic voiceovers. The platform supports 160+ languages, one-click translation/localization, an AI screen recorder, brand management, collaboration and analytics, and enterprise-grade security (SOC 2 Type II, GDPR). It’s marketed primarily to teams and enterprises for training, sales enablement, marketing, knowledge management and internal communications, helping companies scale video production while reducing time and cost.
🕒 April 16
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501 - 1000 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
🔥 Funding within the last year
💰 $200M Series E - Synthesia on 2025-10
Artificial Intelligence • SaaS • B2B
<Synthesia> Synthesia is a SaaS AI video platform that enables businesses to create studio-quality videos without cameras, microphones, actors, or studios by using AI avatars and synthetic voiceovers. The platform supports 160+ languages, one-click translation/localization, an AI screen recorder, brand management, collaboration and analytics, and enterprise-grade security (SOC 2 Type II, GDPR). It’s marketed primarily to teams and enterprises for training, sales enablement, marketing, knowledge management and internal communications, helping companies scale video production while reducing time and cost.
• Maintain and scale Kubernetes (EKS) clusters — managing workloads, deployments, and monitoring at production scale. • Manage and evolve our AWS (and some GCP) cloud environments, balancing reliability, cost, and velocity. • Own and improve our CI/CD systems (GitHub Actions on our self-hosted AWS runners). • Define and implement Infrastructure as Code using Terraform and Terragrunt. • Strengthen observability via Datadog and enable teams to understand their systems in production. • Collaborate with Product Engineers to deploy and monitor production services. • Drive FinOps practices: vendor management, cost allocation, and financial feedback loops. • Contribute to internal tooling, automation, and reporting platforms that improve developer experience.
• Deep hands-on DevOps / SRE / Platform experience in a SaaS or high-traffic product environment. • Strong Kubernetes experience - spinning up and managing clusters, not just consuming them. • Proven AWS and or GCP expertise. • Proficiency with Terraform / Terragrunt, Linux, and Python scripting. • Strong understanding of CI/CD design patterns. • Experience with Datadog or similar observability tooling. • Comfortable operating autonomously in ambiguous environments. • A pragmatic mindset - focusing on scalable, maintainable solutions over theoretical perfection. • A bias toward execution and written communication, especially in remote contexts.
• Health insurance • Professional development opportunities
Apply Now🕒 March 17
Senior Cloud Infrastructure Engineer focusing on developing and operating OpenStack platforms. Join our team to support tailored IT services with expertise in cloud technologies.
🗣️🇩🇪 German Required
Ansible
Cloud
DNS
Docker
Linux
OpenStack
SQL
Swift