Production Support Engineer

Skills

DatabasesKnowledge SharingProduction EngineeringProduction SupportReliabilityReliability EngineeringResolving Issues

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

3-6 years experience in DevOps Production Engineering Site Reliability Engineering or similar role
Experience working with legacy code, such as Java 11
Configure and maintain public cloud infrastructure, such as AWS
Work with relational databases, such as Oracle or PostgreSQL
Troubleshoot user-facing issues involving desktop environments networking and web browsers
Effectively communicate with and write for technical and non-technical audiences
Being accountable for respond to resolve issues within established Service Level Agreement timeframes
Operate effectively in a distributed team environment with colleagues across multiple time zones

Day to day

Maintain, monitor and support key technical systems within Technology organization
Hybrid of site reliability engineering operations support application development
Work closely with small team of Production Support Engineers larger application development group partner with operations teams
Write clean and maintainable code in Java Python or TypeScript
Monitor production and improve automated monitoring capabilities
Own root cause analysis of outages implement resulting fixes and improvements
Debug and resolve system errors identified by automated or manual testing
Troubleshoot document resolve issues with business and operations users
Execute manual workflows to support business users write code to automate
Improve CICD modify infrastructure-as-code to provision resources
Write playbooks technical deep dives improve knowledge base
Be on-call to respond to high-priority production incidents

Hiring process

Click the “Apply” link at the top of the page, or apply directly with your LinkedIn

Company

Why this team might suit you

Mission, benefits, values and useful company context.

Mission

Warner Music Group (WMG) brings together artists, songwriters, entrepreneurs, and technology that are moving entertainment culture across the globe. Operating in more than 70 countries through a network of affiliates and licensees, WMG’s Recorded Music division includes renowned labels such as 10K Projects, 300 Entertainment, Asylum, Atlantic, Big Beat, Elektra, Erato, First Night, Fueled By Ramen, Nonesuch, Parlophone, Reprise, Rhino, Roadrunner, Sire, Spinnin’, Warner Records, Warner Classics, and Warner Music Nashville. WMG’s music publishing arm, Warner Chappell Music, has a catalog of over one million copyrights spanning every musical genre, from the standards of the Great American Songbook to the biggest hits of the 21st century. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.

Benefits

Inclusion and diversity focused workplace
Equal opportunity workplace
Work with emerging artists and global superstars
Next-gen services division connects artists with fans
Global distribution company for independent artists and labels

Values

At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter. Technology is one of the most important parts of our business. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality. At Warner Music Group, we are building cutting edge inference systems to better understand the landscape of music consumption toward the goal of providing actionable insights that drive business growth. We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts. Our ideal candidate will have strong ML and Data Science skills along with experience and a passion for building efficient, robust software.

HQ

New York

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