Product

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AI & Machine learning

Media & Entertainment

Internet of Things

Analysis & Big data

Sports

Hackathons

New technique

Work inhouse

Opportunity to work from home

Internship program

Catered breakfast

Occupational pension

Architecture and technology decisions

Pet-friendly workplace

Stable work situation

More than 25 days of vacation

Freedom at work

Possibility of working abroad

Shower

Office first

Fixed salary

Central office

Own responsibility

Choose own equipment

Innovation labs

Not interested in probation

Competitive salary

Development opportunities

Partnership

Non-regulated working hours

Extended support at parental leave

Wellness allowance

Wish to not travel in work

Code days

Work in smaller team

Extra parental allowance

Work-life balance

Flexible working hours

Career growth

100-499

Rust

Machine Learning

Tensorflow

Linux

Python

The complete solution for sports video recording, analysis and broadcasting

Spiideo AB

https://careers.spiideo.com/jobs/2119317-computer-vision-and-machine-learning-engineer

Computer Vision and Machine Learning Engineer

https://careers.spiideo.com/jobs/2111521-software-engineer-in-iot

IoT Engineer

At Spiideo, we are revolutionizing sports video recording, analysis, and streaming for professional and amateur teams worldwide.

Spiideo is the leading provider of AI-augmented, cloud-based solutions for video analysis and streaming of sports. With a unique set-up of cameras, an entirely new way of recording, processing, sharing, and analyzing sports performance, and producing sports for streaming, Spiideo has a unique position in the market.

Our solution strikes the perfect balance between performance, simplicity, and accessibility.

Today Spiideo is used by thousands of teams globally, including some of the world’s largest and most well-known professional and collegiate teams. Our customers are typically in team sports like soccer, basketball, ice hockey, field hockey, futsal, lacrosse, etc

We are seeking an experienced DevOps engineer to join our team and help us build, maintain, and improve our infrastructure and deployment processes. The ideal candidate will have a strong background in software development and experience with the tools and technologies used in DevOps, such as Docker, Kubernetes, and Terraform. The candidate should also have experience working with AWS and be familiar with best practices for deploying and managing applications in the cloud.

Responsibilities:

Design, implement, and maintain our infrastructure and deployment processes
Collaborate with development teams to ensure smooth and efficient deployment of applications
Monitor and troubleshoot production systems to ensure high availability and performance
Develop and improve automation tools and processes
Participate in incident response and post-mortem analysis

If you are passionate about DevOps and have the skills and experience we are looking for, we encourage you to apply for this position!

DevOps Engineer

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