DevOps Engineer

DevOps Engineer at Videfy.ai
Full Remote

About Us

We’re building a next-generation video creation platform. Our goal is to make professional video editing accessible, fast, and intuitive for everyone from individual creators to large teams.

We believe current video creation workflows are too fragmented, complicated and slow. Our vision is to bring everything into one seamless experience, where creators can move from idea to high-quality video much faster. By combining advanced AI capabilities with user-friendly design, we aim to redefine how videos are created at scale.

We are seeking a mid-to-senior level DevOps Engineer to lead our migration from multiple vendors into a consolidated, multi-cloud Kubernetes environment. In this role, you will architect, implement, and optimize our new Kubernetes infrastructure, ensuring it is reliable, secure, and portable across cloud providers. Your work will directly enable Videfy’s AI-powered content creation platform to scale efficiently and deploy seamlessly on any vendor.

Responsibilities
- Contribute to the migration of a web platform over to a Kubernetes-native architecture
- Establish SLOs, SLAs, and monitoring to ensure platform stability.
- Build and maintain CI/CD pipelines for fast, reliable deployments.
- Work with development and product teams to align infrastructure with needs.
- Implement security best practices, IAM, and compliance specifications

Experience
- Hands-on with building Kubernetes clusters.
- Expertise in managing infrastructures with Terraform.
- Deploying CI/CD pipelines through GitHub Actions
- Proficiency in NodeJS
- Familiarity with AWS and an additional cloud provider such as GCP or Azure
- Enforcement of compliance best practices
- Migration from legacy systems to Kubernetes or cloud-native architectures

If you believe you’re the right fit for this role, we’d love to hear from you.

Required languages

English C1 - Advanced
DevOps, Node.js, MySQL/PostgreSQL/MongoDB, AI Agents, AWS, Google Cloud, Heroku, Docker/Kubernetes, CI/CD
Published 7 November
74 views
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16 applications
7% read
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