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Netflix is seeking a Support Solutions Engineer (L5) for its Graph Search team, responsible for enhancing developer support through troubleshooting, documentation, and operational improvements. The ideal candidate should have experience in customer-facing engineering roles, particularly with search technologies and data indexing.
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Job Summary
The role focuses on delivering an excellent support experience to Netflix's developer community while advocating for customer needs across complex organizations.
Candidates must possess deep technical knowledge of search platforms, data indexing pipelines, and distributed systems to troubleshoot and resolve engineering issues.
Netflix offers a unique compensation structure where employees choose their salary versus stock options split, along with comprehensive benefits including flexible time off.
Matching Summary
Match Score: 75
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Netflix is seeking a Support Solutions Engineer (L5) for its Graph Search team, responsible for enhancing developer support through troubleshooting, documentation, and operational improvements. The ideal candidate should have experience in customer-facing engineering roles, particularly with search technologies and data indexing.
**
Salary
Base: $270,000.00 - $410,000.00; Bonus/Equity: Employee chooses salary vs stock option split; Benefits: Comprehensive health plans, 401(k) match, stock options, and flexible PTO
Skills & Requirements
Must-have
OpenSearch or Elasticsearch experience
GraphQL schema debugging skills
Distributed systems knowledge
Kafka or RabbitMQ messaging systems
Runbook and documentation creation
Data indexing pipeline understanding
Nice-to-have
Apollo or Spring GraphQL framework
Event-driven architecture patterns
RBAC or ABAC access control models
Datadog or Jaeger monitoring tools
Customer advocacy in complex orgs
Fast-paced ambiguous environment adaptability
Key Requirements
Proven ability to deliver superior customer support
Experience with OpenSearch or Elasticsearch
Ability to debug GraphQL query issues
Proficiency in reading distributed traces and logs