Software Engineer, Broadcast & Video Formats

We are looking for an engineer who knows the broadcast and video world in depth and can turn that knowledge into reliable software. You will be our go-to person for video formats, codecs, and broadcast-specific media handling within our MAM platform. You will work in a team on Kubernetes-based, GitOps-delivered services, with architectural guidance from our senior architects.

• Implement and maintain media-handling features: ingest, analysis, transcoding, proxy generation, and delivery in broadcast-grade formats.
• Analyze and resolve format-related issues (non-conformant files, interlace/frame-rate problems, audio channel mapping, timecode and metadata errors).
• Integrate and tune transcoders and media tools (e.g. FFmpeg, MediaInfo, 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 (SonarQube, Mend) and to CI/CD pipelines.
• Document format and workflow knowledge so it spreads across the team.

• Hands-on experience in broadcast, post-production, or MAM environments.
• Solid knowledge of the video formatsin everyday use:
• Codecs: H.264/AVC, HEVC, MPEG-2, ProRes, DNxHD/DNxHR, XDCAM HD/IMX, AVC-Intra, JPEG 2000
• Containers: MXF (OP1a, OPAtom), MP4/MOV, MPEG-TS, ideally IMF
• Video fundamentals: interlaced vs. progressive, frame rates (incl. 29.97/59.94 and drop-frame timecode), aspect ratios, color spaces (BT.601/709/2020), basics of HDR (PQ/HLG)
• Audio: channel layouts and mapping, sample rates, loudness (EBU R128)
• Experience with media metadata and subtitle/caption formats (e.g. EBU Core, SMPTE, BWF, EBU-TT/STL, TTML, CEA-608/708).
• Practical experience with FFmpeg and media analysis tooling.
• Programming experience in [Java / .Net / 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.

Tooling and stack

• Platform: Kubernetes, Helm, GitOps (Flux or Argo CD)
• Cloud: AWS (working knowledge: S3, EKS, IAM basics)
• CI/CD: Azure DevOps, GitHub
• Quality & security: SonarQube, Mend (day-to-day use, fixing findings)
• Media tooling: FFmpeg, MediaInfo, MXF analysis tools
• Nice to know: OpenTelemetry/Grafana for debugging media pipelines
• Experience with Vidispine or similar MAM platforms (Avid, Dalet, Telestream, etc.)
• Delivery specs such as AS-11 (UK DPP), IMF, or broadcaster-specific specifications (e.g. ARD/ZDF)
• Knowledge of live and IP workflows (SMPTE ST 2110, SRT)
• Experience with AI/ML-based media enrichment (speech-to-text, face/object detection)
• Familiarity with AWS media services (MediaConvert, etc.)
• Curious and detail-oriented, enjoys getting to the root cause of a broken file
• Explains media topics clearly to engineers who are not broadcast experts
• Reliable team player who takes ownership of their area and asks early when blocked