Senior Software Engineer (m/f/d) - Audatic - #2687577
Sonova Group
Date: vor 1 Stunde
Stadt: Berlin
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
More About The Role
You will be part of Audatic’s development team. As such, potential responsibilities could include:
Tech stack
You are a good match for this position if the points below apply to you.
The qualifications below are nice to have. Please apply even if you do not fulfill these points!
At Audatic, you’ll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being.
We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.
You will be part of Audatic’s development team. As such, potential responsibilities could include:
- Working very closely with our deep learning engineers and data scientists to design, maintain, and extend our system for running deep learning experiments. This includes packages, tools and services written in Python.
- Owning the infrastructure that the experimentation framework is running on. This means dealing with databases, virtual machines, cloud compute resources and scheduling systems.
- Proactively identifying improvements to make our infrastructure more robust, efficient and user-friendly.
- Developing tools to provide better insights and control over machine learning & deep learning experiments. This includes our custom-built experiment control and visualization website.
- Leveraging our CI/CD system or other forms of automation to minimize repetitive tasks for the team.
Tech stack
- Our main programming language is Python.
- We host our infrastructure on Azure.
- Our tech stack is built around many popular (open source) tools, including but not limited to: Ubuntu, Docker and other container runtimes, Slurm, HashiCorp Vault, MongoDB, Postgres, Terraform, Packer, Kubernetes, Prometheus, Grafana, Tensorflow, CUDA, React, FastAPI.
- Our CI/CD pipelines run on GitHub Actions with self-hosted runners.
You are a good match for this position if the points below apply to you.
- Bachelor’s or Master’s Degree in a technical field
- At least 5 years of relevant work experience
- Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code
- Experience with some technologies in our tech stack
- Knowledge of common software design and architecture patterns, with experience applying them to large codebases
- Ability to lead a project from beginning to finish
- Dependable communication skills with full professional proficiency in English
- Willingness and ability to learn and adapt to new tools and environments
The qualifications below are nice to have. Please apply even if you do not fulfill these points!
- Experience designing and maintaining a deep learning infrastructure
- DevOps skills and experience working with any of the major cloud providers
- Exposure to scientific computing packages (e.g., NumPy, SciPy, scikit-learn, TensorFlow)
At Audatic, you’ll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being.
- Competitive compensation package
- 30 days of paid vacation
- Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin
- Regular team events and a yearly retreat
- Company-sponsored public transport ticket (Deutschlandticket)
- Hybrid work model (at least 60% on-site)
We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.
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