DevOps Engineer (with backend experience - Computer Vision (Argos platform))
Location: Ljubljana
ABOUT:
At Sportradar, we are building a world class, cloud-native, low latency computer vision inference pipeline (Project name: Argos) to bring computer vision workloads to production as one of the core technologies powering Sportradar's sports data collection.
We are looking for an experienced DevOps engineer with back-end experience to join our AI Solutions team, which is developing innovative computer vision systems as well as Sportradar's data lake and data analytics platform.
Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports enthusiasts.
THE CHALLENGE:
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Research, design, implementation, deployment and management of systems for real-time, low latency computer vision processing hosted in AWS.
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Optimisation of computer vision models to reduce latency and inference costs in production applications.
- Actively participate and contribute to computer vision model development projects.
- Present technical architectures, ideas and solutions to fellow engineers in a clear and understandable way, contribute to the evolution of our technology stack.
- Support Sportradar’s future computer vision and machine learning initiatives working with a growing team of talented data scientists and data engineers already dedicated to this mission.
YOUR PROFILE:
- Knowledge of programming in Python/Go (preferred both) with demonstrated hands-on experience.
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DevOps experience (hands-on experience with the design, set-up and administration of build and deployment pipelines and infrastructure).
- Strong understanding of Kubernetes concepts/objects.
- Hands on experience with administration and maintenance of Kubernetes clusters (Helm, Helmfile, ArgoCD...).
- Understanding and experience with Terraform (or other IaC frameworks).
- Experience with cloud services such as AWS/Azure (AWS preferred). Experience with configuring cloud services (IAM, S3...).
- Must be comfortable with modern software development methodologies such as agile development, git, CI/CD, code review, etc..
- Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable.
- Fluent in English (written and spoken).
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Autonomous, rigorous, creative and a team player.
Bonus, but not required:
- Experience with Java programming.
- Understanding of machine learning / deep learning concepts and some. hands on experience with machine learning or computer vision using deep learning frameworks (e.g., Keras, PyTorch, Tensorflow, MXNet).
- Experience with productization of CV/ML models.
- C++ and GPU programming experience.
- Experience with Apache Kafka.
- CKA/CKAD certificates.
- Experience with running large-scale processing of any kind (hundreds of nodes).
- Experience with configuring and designing monitoring/observability systems (Prometheus, grafana, EFK/PGL stack).
OUR OFFER:
- Work in an international team collaborating with colleagues from all over the world.
- Opportunity to work and develop in a dynamic Tech environment within an inspiring and fast growing company.
- A challenging but rewarding and fun environment.
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Hybrid work policy.
Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences
