Gracenote is the content business unit of Nielsen that powers the world of media entertainment. Our metadata solutions help media and entertainment companies around the world deliver personalized content search and discovery, connecting audiences with the content they love. We’re at the intersection of people and media entertainment. With our cutting-edge technology and solutions, we help audiences easily find TV shows, movies, music and sports across multiple platforms. As the world leader in entertainment data and services, we power the world’s top streaming platforms, cable and satellite TV providers, media companies, consumer electronics manufacturers, music services and automakers to navigate and succeed in the competitive streaming world. Our metadata entertainment solutions have a global footprint of 80+ countries, 100K+ channels and catalogs, 70+ sports and 100M+ music tracks, all across 35 languages.
Job Purpose
Develop and enhance SaaS/PaaS platforms for kubernetes, data-lake query, data-processing, orchestration, monitoring, and more by leveraging popular open source software and git automation.
Ensure the reliability and availability of our SaaS/PaaS services using SRE best practices for architecture, monitoring, alerting, etc.
Role Description
Evaluate, contribute to, and leverage open source technologies including Kubernetes, Trino, Spark, Airflow, Prometheus + friends, ELK, Jupyter, and more in order to create and enhance our internal SaaS/PaaS platforms.
Be an internal sales-person for the DevOps tools and best-practices, helping to get all teams towards full adoption. The platform allows Gracenote to provide all teams with features, optimizations, updates, and security enhancements at scale and pace.
Diagnose technical and scalability faults on platform services which are typically built on Kubernetes.
Provide technical support and usage guidance to the users of our platform’s services.
Drive the creation and refinement of metrics, monitoring, and alerting mechanisms to give us the visibility we need into our production services.
Role Requirements
Passionate about software development and DevOps.
Competency in SQL and scripting in bash and or python for automation.
Experience with DevOps automation technologies like Terraform, Ansible, Secrets Management, Git, Jenkins (or similar ones).
Experience with Unix/Linux based platforms.
Experience with containers (docker, container).
Experience with AWS Services.
6+ years of work experience.
A degree in computer science, engineering, math or related fields
Desired Skills
These skills are nice to have:
Ability to code well in Java or Python (or another language and willingness to earn these two).
Experience with containers (docker, containerd) and kubernetes.
Experience with Presto, Trino, Spark, Airflow, Prometheus, ELK, or similar technologies.
