Analytics Engineer 5 - Infrastructure Efficiency & Productivity

Overview

Own how Netflix understands the efficiency of its cloud and AI infrastructure, defining the metrics, building the datasets, and delivering the insights leadership uses to spend wisely on a multi-billion-dollar infrastructure footprint.

What you'll do

• Define and own the core metrics for infrastructure cost, usage, and efficiency across compute, storage, streaming, and machine learning platforms, and expand that coverage as the footprint grows.
• Help pioneer new ways to measure the productivity impact of AI tooling and autonomous agents, shaping frameworks that leadership will use to guide investment.
• Increase the speed and quality with which the company understands and acts on its efficiency, turning slow, manual analysis into trusted, reusable insight.
• Surface and size new efficiency opportunities, translating patterns in cost and usage data into recommendations that lead to meaningful savings.
• Build the dashboards, reports, and narratives that make efficiency legible to audiences from individual engineers to senior executives, partnering with visualization engineers on the surfaces that serve them.
• Partner with Data Engineers on the upstream pipelines for your metrics, and with Data Scientists on the forecasting and reliability work that connects to yours.

What you'll need

• Experience in metric research and development in a technical domain, building metric frameworks at multiple granularities that ladder up to a coherent whole and setting targets people trust.
• Self-sufficient across the full analytics loop: data exploration, cleaning, light pipeline building, business logic, and dashboards.
• Fluent in Python and SQL.
• Comfortable with messy, changing data, with the judgment to know when a number is right and when it needs a second look.
• An exceptional communicator with both technical and non-technical audiences, experienced at telling stories with data and influencing decisions at all levels of the business.
• A strong product thinker with good product sense, able to get at what partners actually need and build solutions that satisfy it.
• Comfortable with ambiguity, thriving with minimal oversight and process.
• Thoughtful about using AI in your own craft, using coding and analytics agents well and evaluating what they produce rather than taking it on faith.

Nice to have

• Experience measuring cost, efficiency, or system performance in a cloud or streaming context, or motivation to go deep in that domain.

Details

• Location: USA, remote.
• Employment type: full-time.
• Compensation is an annual salary only, with no bonuses; the range is $330,000.00 - $566,000.00 and varies by location.