We are looking for a Backend / Post-Processing Engineer to join our engineering team.
You will work on the core processing pipeline that transforms raw test results audio streams signaling logs and real-time metrics into meaningful reports analytics and alerts delivered to our customers.
Your work will directly impact the intelligence layer of our platform: reporting analytics monitoring and audio-quality evaluation.
Tasks
- Design and implement backend logic for post-processing of test results and communication data
- Build & extend pipelines for advanced test analytics (voice quality metrics audio analysis MOS models timing & signaling evaluation)
- Implement and optimize audio-engineering-related processing (signal analysis codecs waveform transforms etc.)
- Work with infrastructure and deployment tools using Terraform and Docker
Requirements
- Python primary language for data processing and analytics
- Go high-performance backend services
- Perl some legacy & core components (Mojolicious) you may interact with
- Terraform infrastructure-as-code for our cloud environment
- Docker containerized development and production deployment
- Experience with audio processing telecom protocols (SIP RTP) or test automation frameworks is a strong plus.
- Good communication skills in English; German is a plus.
- Ability to work in agile startup environments.
- AWS / Cloud-based environment experience
Benefits
- Work on cutting-edge automated testing and monitoring for real-time communication systems
- Shape the analytics and intelligence layer of a unique deep-tech product
- A modern tech stack with a fast-moving engineering-focused
- Hybrid work model with flexibility. (Vienna/Graz/Home Office)
- Collaborative friendly international team.
- Opportunities for deep learning in telecom audio and large-scale monitoring pipelines
Send us a message including
- a link to your LinkedIn profile or a CV and
- a summary of your accomplishments and/or a link to your Github
About the interview:
- Non-technical part (30min video call)
- Technical part (1-2h video call or on-site)
We are looking for a Backend / Post-Processing Engineer to join our engineering team.You will work on the core processing pipeline that transforms raw test results audio streams signaling logs and real-time metrics into meaningful reports analytics and alerts delivered to our customers.Your work wil...
We are looking for a Backend / Post-Processing Engineer to join our engineering team.
You will work on the core processing pipeline that transforms raw test results audio streams signaling logs and real-time metrics into meaningful reports analytics and alerts delivered to our customers.
Your work will directly impact the intelligence layer of our platform: reporting analytics monitoring and audio-quality evaluation.
Tasks
- Design and implement backend logic for post-processing of test results and communication data
- Build & extend pipelines for advanced test analytics (voice quality metrics audio analysis MOS models timing & signaling evaluation)
- Implement and optimize audio-engineering-related processing (signal analysis codecs waveform transforms etc.)
- Work with infrastructure and deployment tools using Terraform and Docker
Requirements
- Python primary language for data processing and analytics
- Go high-performance backend services
- Perl some legacy & core components (Mojolicious) you may interact with
- Terraform infrastructure-as-code for our cloud environment
- Docker containerized development and production deployment
- Experience with audio processing telecom protocols (SIP RTP) or test automation frameworks is a strong plus.
- Good communication skills in English; German is a plus.
- Ability to work in agile startup environments.
- AWS / Cloud-based environment experience
Benefits
- Work on cutting-edge automated testing and monitoring for real-time communication systems
- Shape the analytics and intelligence layer of a unique deep-tech product
- A modern tech stack with a fast-moving engineering-focused
- Hybrid work model with flexibility. (Vienna/Graz/Home Office)
- Collaborative friendly international team.
- Opportunities for deep learning in telecom audio and large-scale monitoring pipelines
Send us a message including
- a link to your LinkedIn profile or a CV and
- a summary of your accomplishments and/or a link to your Github
About the interview:
- Non-technical part (30min video call)
- Technical part (1-2h video call or on-site)
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