Job Description
Stats Perform
Software Engineer
Full-Time
Bangalore / India
Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions.
Any Degree
Freshers
Media outlets add a little magic to their coverage with our stats and graphics packages. Sportsbooks can offer better predictions and more accurate odds. The world's top coaches are known to use our data to make critical team decisions. Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine.We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology.Responsibilities:Skilled QA Engineer specializing in both automation and manual testing, with a strong emphasis on automation to ensure exceptional software quality and efficiency. Demonstrates comprehensive expertise in the following technologies.
Python: Programming skills in Python for developing, maintaining, and optimising automated test scripts and frameworks. AWS: Proficient in leveraging Amazon Web Services to build scalable, secure, and resilient testing environments. Docker: Experienced in containerising applications and managing Docker environments to ensure consistent and isolated test setups. Elastic: Skilled in utilising the Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring, logging, and analysing test performance and system metrics. Bash: Proficient in writing and maintaining Bash scripts to automate repetitive tasks, streamline workflows, and improve testing efficiency. SQL: Expertise in SQL for conducting comprehensive database testing, including writing and executing complex queries to verify data integrity and backend functionalit API : Skilled in validating the API's and developing automation scripts for testing the API
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