Read by 325 job seekers.

Mumbai, India

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

If you are a DevOps and/or Cloud based systems enthusiast who likes to work on cutting-edge technologies in an environment that gives you the freedom to explore, play, and learn, then Gracenote is the right place for you. Join a close-knit, passionate team that collaborates in an agile environment to develop great technology. We encourage professional growth opportunities and invest in your personal development. Bring your experience with Cloud and DevOps to help to build out the capabilities of our Gracenote platform.

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.

Job 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.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between INR 10,00,000 - INR 20,00,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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