Software Engineer, Broadcast & Video Formats

• Implement and maintain media-handling features for ingest, analysis, transcoding, proxy generation, and delivery in broadcast-grade formats
• Analyze and resolve format-related issues including non-conformant files, interlace/frame-rate problems, audio channel mapping, timecode errors, and metadata errors
• Integrate and tune transcoders and media tools such as FFmpeg, MediaInfo, and commercial transcoding engines in containerized workflows
• Map and validate technical and descriptive metadata against broadcast standards and customer specifications
• Support customer projects and escalations with media-domain expertise
• Contribute to code quality and security using SonarQube and Mend
• Contribute to CI/CD pipelines
• Document format and workflow knowledge for the team
• Work in a team on Kubernetes-based, GitOps-delivered services with architectural guidance from senior architects

• Hands-on experience in broadcast, post-production, or MAM environments
• Solid knowledge of codecs: H.264/AVC, HEVC, MPEG-2, ProRes, DNxHD/DNxHR, XDCAM HD/IMX, AVC-Intra, JPEG 2000
• Solid knowledge of containers: MXF (OP1a, OPAtom), MP4/MOV, MPEG-TS, ideally IMF
• Knowledge of video fundamentals: interlaced vs. progressive, frame rates including 29.97/59.94 and drop-frame timecode, aspect ratios, color spaces (BT.601/709/2020), basics of HDR (PQ/HLG)
• Knowledge of audio channel layouts and mapping, sample rates, and loudness (EBU R128)
• Experience with media metadata and subtitle/caption formats such as EBU Core, SMPTE, BWF, EBU-TT/STL, TTML, and CEA-608/708
• Practical experience with FFmpeg and media analysis tooling
• Programming experience in Java, .NET, or C# and comfort working with REST APIs
• Working knowledge of Kubernetes and Helm, plus Git-based workflows
• Structured, quality-conscious way of working
• Fluent English; German is a plus
• Working knowledge of AWS, including S3, EKS, and IAM basics
• Experience with Azure DevOps and GitHub
• Day-to-day use of SonarQube and Mend, including fixing findings
• Nice-to-have: experience with Vidispine or similar MAM platforms
• Nice-to-have: delivery specifications such as AS-11 (UK DPP), IMF, or broadcaster-specific specifications such as ARD/ZDF
• Nice-to-have: knowledge of live and IP workflows such as SMPTE ST 2110 and SRT
• Nice-to-have: experience with AI/ML-based media enrichment
• Nice-to-have: familiarity with AWS media services such as MediaConvert