DevOps Engineer
Chicago, IL
Sports Technology
Posted/Updated: 08/10/17
Job Summary
As the world’s leading sports data and technology company, STATS powers sports. We are trusted by more than 800 clients around the globe to enhance fan engagement and maximize team performance by analyzing sports data from more than 100,000 games a year with unrivaled speed and accuracy. We power sports on and off the field through data feeds, video analysis, sports content and research, player tracking through STATS SportVU®, and customizable digital solutions. For more information, go to www.stats.com and follow STATS on Twitter @STATS_Insights. What You’ll Do: What You’ll Need: Bonus Skills:Job Description
• Contribute to all aspects of the services under the team’s ownership, which includes design, implementation, refactoring, automated testing, deployment, and uptime of the services
• Build technology the right way; for us, this means simple, well-tested services and tools that gradually grow over time, and that provide plenty of insight into production usage and performance
• Collect, monitor and analyze systems performance data for improved performanceSkills & Requirements
• More than 2 years of relevant DevOps experience
• Strong background in Linux/Unix Administration
• Strong Kubernetes knowledge and hands-on experience
• Experience with automation/configuration management using either Puppet, Chef or equivalent
• Ability to use a wide variety of open source technologies and cloud services (experience with AWS is required)
• Proficiency in managing systems within multiple sites including fail-over redundancy & autoscaling
• Strong diagnostic, analytical, design and communication skills
• Ability to craft simple and elegant solutions to complex problems
• Experience with Agile development processes
• Knowledge of best practices and IT operations in an always-up, always-available service
• Experience with Python scripting
• Experience with Cassandra, MongoDb or other NoSQL databases
• Experience working with Apache Storm, Apache Spark or other open-source big data technologies
• Experience with CI/CD workflows and tools like Jenkins, CircleCI, and/or AppVeyor
• Experience with Atlassian suite of tools (JIRA, Confluence, Bitbucket)
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