Senior Distributed Systems Engineer — Lead at Scale

Netflix, Inc.

United States

On-site

USD 499,000 - 900,000

Full time

3 days ago
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Benefits offered by this job

Health plans
401(k) match
Stock option program
Paid time off

Job summary

Netflix is seeking a senior engineering leader to shape long-term technical strategy and drive cross-functional roadmaps across the Membership & Monetization Platform. You will influence platform-wide decisions, work with product managers, designers, and data scientists to build scalable commerce experiences, and own reliability for critical services at Netflix scale.

You will lead distributed systems discussions, tackle consistency and throughput challenges, and mentor engineers while driving

Qualifications

  • 15+ years of experience building resilient, high-scale distributed systems in production.
  • Ability to translate vague business directives into scalable technical roadmaps.
  • Proven track record of coaching and elevating technical standards across orgs.

Responsibilities

  • Lead design, delivery, and cross-functional roadmaps for Tier 0 services.
  • Collaborate with product managers, designers and data scientists to build commerce experiences.
  • Scale impact by coaching and mentoring engineers across teams.

Skills

Distributed systems leadership
Cross-functional collaboration
System design & scalability

Education

Bachelor's degree in Computer Science or related field

Tools

Java
Kotlin
C#
Scala
ElasticSearch
Kafka
Hive
AWS
Presto
Spark SQL
Apache Flink
gRPC
GraphQL
RESTful API
Cassandra
Amazon Aurora
Memcached

Job description

Netflix is seeking a senior engineering leader to shape long-term technical strategy and drive cross-functional roadmaps across the Membership & Monetization Platform. You will influence platform-wide decisions, work with product managers, designers, and data scientists to build scalable commerce experiences, and own reliability for critical services at Netflix scale.

You will lead distributed systems discussions, tackle consistency and throughput challenges, and mentor engineers while driving

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