Product Reliability Engineer, Pre Support

Job Description

As a Product Reliability Engineer within the Technology Services organization, you will apply systems analysis techniques to internal services at Netflix with the end goal of resolving product complexity for our global user base working within our Studio and Production environments. Practically speaking, this requires designing and documenting workflows, analysis, and testing techniques for the purpose of ensuring services are working optimally for our users.

Separately, this role requires great communicators, storytellers, and advocates who can consult with a wide breadth of groups, including production/post-production teams, technical support teams, product designers, and data-science teams who share integrated services with the Netflix Studio products. Your end goal with these groups is to conceive, facilitate, and spearhead initiatives to resolve product complexity based on data-informed decision making, building insights models, and utilizing robust Big Data resources and customer sentiment to extract and tell compelling stories.

Core Responsibilities:
• Develop strong cross-functional relationships with business partners across Physical Production, Creative Production, Product Management, Studio Product Rollout, Studio Insights, Data Engineering, Data Science, Business Development, UI, UX, and Backend Engineering, Design, and Quality teams
• Troubleshoot, research, analyze, and diagnose complicated technical issues by diving in to backend systems and logging
• Advocating for users and stakeholders by exposing friction and reliability concerns within the products that also drive pain for customer service
• Apply systems analysis techniques to internal services at Netflix: including writing complex SQL statements and joins and creating visualizations to tell clear stories about product complexity

Qualifications and Expectations:
• You possess 5 or more years of experience in insights gathering with hands-on expertise and a passion for research; certification/QA insights experience a plus
• Demonstrated ability to gather and analyze a variety of data points (qualitative and quantitative) and whittle that information down to the most salient insights for the business
• Big data experience with extracting (e.g. SQL, Apache Spark, Python) and visualizing data (e.g. Tableau)
• Uniquely obsessed with great user experiences
• Thrive in an innovative culture where autonomy is necessary, and communication is paramount
• High level of responsibility, ownership, and accountability
• Ability to distill and communicate highly complex issues for a non-technical audience
• Proven effectiveness at delivering impactful presentations to a variety of audiences
• Ability to effectively debate and use data as the basis of your argument
• Plus: Experience working in Project Management software, e.g. Atlassian Jira
• Plus: Experience in film/television/entertainment industry

Jobcode: Reference SBJ-g39wq9-3-16-66-206-42 in your application.