Join Our Team
Help us revolutionize podcast creation and empower creators worldwide.
Backend Engineer
Remote (US/Europe)•Full-time
Join our backend team to build scalable systems that power our AI-driven podcast platform. You'll work with modern technologies like Node.js, TypeScript, and MongoDB to create robust APIs and services.
Responsibilities
- Design and implement scalable backend services
- Work with AI/ML integrations and audio processing pipelines
- Optimize database performance and query patterns
- Collaborate with the platform team on infrastructure improvements
Requirements
- 5+ years of backend development experience
- Strong knowledge of Node.js and TypeScript
- Experience with MongoDB or similar NoSQL databases
- Understanding of API design and microservices architecture
Podcast Editor
Remote (Worldwide)•Full-time
Help shape the future of podcast editing by combining your audio expertise with our AI tools. You'll work on improving our automated editing systems and provide hands-on support to podcasters.
Responsibilities
- Train and improve our AI editing algorithms
- Provide expert audio editing guidance to clients
- Create educational content about podcast production
- Help develop new audio processing features
Requirements
- 3+ years of professional audio editing experience
- Proficiency with DAWs (Logic Pro, Pro Tools, etc.)
- Understanding of audio processing and sound design
- Experience in podcast or broadcast production
Platform Engineer
Remote (US/Europe)•Full-time
Build and maintain the infrastructure that powers PodMagic. You'll work on our cloud architecture, deployment systems, and ensure our platform scales reliably.
Responsibilities
- Design and implement cloud infrastructure on AWS
- Manage CI/CD pipelines and deployment processes
- Monitor system performance and optimize resources
- Implement security best practices and compliance measures
Requirements
- 4+ years of platform/DevOps engineering experience
- Strong knowledge of AWS services and cloud architecture
- Experience with containerization and Kubernetes
- Proficiency in infrastructure as code (Terraform)