Senior Software Engineers – Cloud-Native Media Solutions

at  Fonn Group AS

Frontend | Fullstack | Backend
Are you an experienced engineer passionate about building enterprise-scale cloud solutions? Whether your expertise lies in crafting elegant user interfaces, architecting robust backend systems, or seamlessly connecting both worlds, we have a place for you to help revolutionize how media companies manage and deliver content.
Fonn Group is expanding its engineering teams across our Mimir and Dina product lines, and we’re seeking talented developers across the technical spectrum.

ABOUT US

Fonn Group builds innovative media technology solutions through our two product teams:
Mimir - A cloud-native video production and collaboration platform transforming how media professionals work with content.
Dina - A next-generation newsroom system enabling efficient content planning and distribution for modern media organizations.
With 80+ technology experts and decades of combined media industry experience, we’re rapidly expanding our presence in the broadcast and digital media sectors. Our diverse client portfolio includes major broadcasters, digital news organizations, sports enterprises, and media companies across North America, Europe, and Asia-Pacific.

REQUIRED QUALIFICATIONS

Frontend Focus
Expert-level TypeScript development
Deep experience with modern frontend frameworks
Strong understanding of web performance optimization
Experience with real-time applications and WebSocket
Fullstack Focus
Expert-level TypeScript development
Proven experience building end-to-end web applications
Strong knowledge of both frontend and backend technologies
Experience with cloud platforms and serverless architectures
Understanding of database design and optimization
Backend Focus
Expert-level understanding of video codecs (H.264, HEVC, AV1)
Deep knowledge of media container formats and streaming protocols
Experience optimizing video processing performance
Strong background in low-level system architecture
Proven track record building high-performance media systems
Experience with FFmpeg and media processing libraries
Understanding of video quality metrics and optimization
Expertise in parallel processing and CPU/GPU optimization

COMMON REQUIREMENTS

5+ years of professional software development experience
Track record of building enterprise-scale applications
Excellent problem-solving and analytical skills
Strong communication and collaboration abilities

BONUS SKILLS

Experience with broadcast-grade video workflows
Experience with Media Object Server (MOS)
Knowledge of professional media formats (ProRes, DNxHD)
Background in real-time video processing
Experience with WebRTC and live-streaming
Understanding of HDR, color spaces, and video quality assessment
Familiarity with broadcast industry standards and workflows
Join us at Fonn Group in shaping the future of media technology. We offer competitive compensation, professional development opportunities, and the chance to work with cutting-edge technologies in a dynamic environment.
Our engineers enjoy:
Challenging technical problems at scale
Freedom to propose and implement new solutions
Regular opportunities to learn and experiment with new technologies
Collaborative environment with other experienced engineers
Location: Bergen, Norwa

Senior frontend Engineers
Create intuitive, high-performance user interfaces for media professionals
Build responsive web applications using modern JavaScript frameworks
Implement real-time collaboration features and media playback interfaces
Drive UI/UX improvements based on user feedback and analytics
Senior fullstack Engineers
Architect end-to-end solutions from database to user interface
Design and implement scalable API services
Build and optimize cloud-native applications
Bridge the gap between frontend and backend teams
Senior backend Engineers
Design and implement high-performance video processing pipelines
Optimize media encoding, transcoding, and streaming workflows
Build low-latency, efficient media delivery systems
Architect robust microservices for media processing at scale
Develop AI-powered automation for video analysis and processing
Tune system performance for real-time media operations