✓ DevOps Engineer Automated Content

Interested in Artificial Intelligence, Computer Vision, Deep Learning and other modern technologies? Then the Automated Content team within Sportradar is the right fit for you.
We are enhancing the sports experience for fans, athletes, and teams across the globe through world-class AI solutions and are committed to advancing the state of the art of Sport through continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science and beyond.
We are on a mission to automate sports content creation - the data and video - that feeds products and services we deliver to our partners.
The possibilities to revolutionize the world of sport are vast, and we are only at the beginning of our journey.
Our cutting-edge technologies will revolutionize the way individuals interact with and participate in sports.
Our objective is to create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting.
By doing so, we are enhancing the lives of coaches, athletes, and fans by developing products that cater to their evolving needs and requirements, as well as enabling an experience where people can engage with sport in new and meaningful ways.
We seek a talented DevOps Engineer to join our team:
a diverse, highly skilled, and enthusiastic team on the mission to reinvent the world of sports.
About the role We're looking for an addition to a group of highly experienced engineers in a DevOps solutions and technology team.
Working closely with engineering teams to foster a strong culture of collaboration, system development lifecycles and infrastructure as code practices.
Develop and support high quality digital solutions, with a focus on building operational awareness, supporting configuration management and ensuring quality.
Become integral to a team of software developers, test analysts and product owners as part of the DevOps Practice.
This position offers tremendous opportunities to work alongside the state-of-the-art technology that will change the way sport is consumed in the future.
Responsibilities Design, build and improve the software delivery lifecycle for a broad array of products and services in the cloud and/or on the edge Desire to automate all things, coach and guide your peer development community and a passion for reproducible high results Enable teams to work efficiently and effectively through technology and ways of working solutions Research new technologies and methodologies to address technical issues Contribute to the continuous improvement of existing software solutions The challenge Design, build, test, deploy and maintain cloud infrastructure for our ML/DL solutionsImprove the reliability and efficiency of CI/CD pipelinesHelp reducing the time to market of our computer vision solutionsWrite clean, scalable, documented, and understandable codeParticipate in code review processes, when area of expertise is applicableBuild reusable code libraries, when those are required In depth Cloud experience with AWS (2+ years)Highly proficient with IaC and Configuration Management tools (especially Terraform and Ansible)Strong understanding of CI/CD pipelines (Gitlab, 2+ years)Excellent experience creating Operational Awareness through monitoring and alerting solutionsExcellence with version control systems (Git)Detailed knowledge of GNU/Linux OS (3+ years of experience with administration of production grade services running on Linux server)Experience with ContainersApplication development, technical architecture or application support experience in an agile / continuous delivery environmentStrong scripting skills (ability to write Bash script, Python / Ruby / Go / other)Excellent communication skills and fluency in EnglishA team player with a strong sense of collaboration and personal developmentSportradar 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 Please mention you found this job on Startup Jobs.
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