Senior Software Engineer (L5) - Analysis

Netflix

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $388,000–$558,000 / yr
Posted: 77 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $473k

$95k most similar roles pay here $608k

This role pays more than 98% of similar roles. Most pay $144,350–$222,000 — the shaded band above. At the midpoint, this role pays about $473k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 111 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 109 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Senior Software Engineer (L5) - Analysis

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As a Senior Distributed Systems Engineer on Netflix’s Analysis team, you will design and build next-generation analysis tooling for A/B testing across the company. Your daily responsibilities include developing real-time and batch workflows for experiment analysis, ensuring system reliability through observability instrumentation, and collaborating with various teams to define clear data and API contracts. You will also partner closely with product engineering teams to simplify and enhance experimentation workflows, ensuring that Netflix’s decision-making processes are informed by accurate and timely data. This role requires a deep understanding of the experimentation lifecycle, expertise in backend systems, and proficiency in technologies such as Flink, Spark, Elasticsearch, and Druid. Your work will have high visibility and impact, underpinning how product teams experiment and roll out features, with direct influence on business outcomes through efficient processing of billions of events daily.

Skills

Flink Spark Elasticsearch Druid Python Java Kafka Docker Kubernetes AWS CI/CD Prometheus Grafana GitLab PostgreSQL Redis REST GraphQL

What you'll do

Design, build, and maintain real-time and batch analysis workflows for experiment analysis.
Lead incident response during on-call rotations and drive long-term reliability improvements.
Instrument services with observability features to ensure resilience and performance.
Collaborate with teams to shape data integration surfaces using Flink, Spark, Elasticsearch, and Druid.
Define clear data and API contracts to improve usability of experimentation data for consumers.
Simplify and enhance the experience for monitoring and deciding experiments across Netflix.

What we're looking for

Extensive experience in building and operating reliable distributed systems.
Deep understanding of experimentation lifecycle, risks, and data science/statistics.
Strong background in backend development, including coding and operational rigor.
Proven ability to collaborate effectively with cross-functional teams.
Expertise in real-time and batch analysis workflows for experiment evaluation.

Senior Software Engineer

Carnegie Mellon University

Pittsburgh, PA 29 days ago

C++ Java Angular C# Kubernetes Docker CI/CD Python PostgreSQL AWS Azure Git JIRA Confluence DoD 5000-series guidance Terraform

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