Ever wonder how Nielsen figured out that 127.3 million people tuned in to watch Super Bowl LVIII? That's what we do here. Come and join our team of professionals and together we will build a cutting-edge Television measurement system. On this specialized team, we will use a combination of technology, curiosity and culture to empower our teams and people to be successful and focused on delivering highly reliable and accurate systems. Our focus will be to develop and deliver content recognition engines used in measuring streaming video, commercials, and broadcast TV.Language requirements: GoLang, PythonTechnical skills: Kubernetes, Pulumi, TerraformKnowledge of specific systems: AWS S3, SQS, EC2,RDSResponsibilities The duties of this position include the development and refinement of a high-resolution content identification system used in the identification of television programs and commercials. You will be working on a scrum team with other skilled developers sharing best practices and exploring new technologies and algorithms that will advance the excellence of our measurement. You will build and maintain microservices that power the content identification services used in Television Audience Measurement. These micro services run in AWS and consume and process data using advanced algorithms that are tuned for efficiency. You will also be responsible for the efficient use of AWS resources on our projects. Critical thinking and Innovation are highly valued on this team and everyone is expected to think out of the box, bring new ideas and to challenge what we do and how we are doing it.Qualifications Bachelor's degree in Computer Engineering related field (or equivalent experience).7+ Years of experience in programming back office services.Skilled in GoLang and fluent in Python. Skilled in AWS Programming APIs for S3, SQS.Experienced in Kubernetes.Experienced in writing Infrastructure as code: Pulumi and/or Terraform.Experienced in Operating and writing Airflow DAGs. Has fundamental skills in Signal Processing - FFT, Nyquist cutoff,etc. Strong skills in Hashing data and working with large hash tables.Having past experience of working efficiently with large data sets.Strong abstract reasoning and problem solving skills.Demonstrate the ability to perform a root cause analysis