Netflix

3 months ago

Distributed Systems Engineer (L5) - Commerce Insights and Data Products Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Build low-latency, reliable distributed data products that power personalized Netflix experiences across commerce and identity. Partner with data scientists and engineers to design and operate highly available systems, applying data engineering fundamentals and deep understanding of ML data needs (features, labels, reward signals). Prioritize observability with strong monitoring, logging, and alerting, and create multi-tenant architectures for high-scale, always-on performance in agile environments.

Location: Panama, United States

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Partner with data scientists and engineers to build low-latency data products for personalized Netflix experiences.
•Develop highly available and reliable distributed data systems and services that deliver timely, high-quality data.
•Apply data engineering fundamentals and ML data understanding to design data products for algorithms and machine learning models.
•Create scalable, multi-tenant systems that can handle high-scale and high-throughput requirements and support 24x7 operations.
•Ensure systems are observable with comprehensive monitoring, logging, and alerting for proactive issue detection and resolution.

Pay and Benefits

Salary: USD 388,000 - 619,000 annually

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Proficient in at least one JVM language (e.g., Java or Scala) and SQL (any variant).
•Write elegant, maintainable code and quickly pick up new technologies.
•Experience building applications using large-scale distributed systems and data processing frameworks (batch and real-time) such as Spark and Flink, plus storage solutions.
•Design low-latency, reliable data products based on how ML systems consume data (features, inference inputs, labels, and reward signals).
•Design and operate multi-tenant systems for high-scale, high-throughput demands with strong observability (monitoring, logging, alerting).

Skills:CollaborationProduct mindsetAnalytical thinkingOwnershipAdaptability

Tech Stack:JavaScalaSQLSparkFlink

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

3 months ago

Distributed Systems Engineer (L5) - Commerce Insights and Data Products Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Panama, United States

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Partner with data scientists and engineers to build low-latency data products for personalized Netflix experiences.
•Develop highly available and reliable distributed data systems and services that deliver timely, high-quality data.
•Apply data engineering fundamentals and ML data understanding to design data products for algorithms and machine learning models.
•Create scalable, multi-tenant systems that can handle high-scale and high-throughput requirements and support 24x7 operations.
•Ensure systems are observable with comprehensive monitoring, logging, and alerting for proactive issue detection and resolution.

Pay and Benefits

Salary: USD 388,000 - 619,000 annually

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Proficient in at least one JVM language (e.g., Java or Scala) and SQL (any variant).
•Write elegant, maintainable code and quickly pick up new technologies.
•Experience building applications using large-scale distributed systems and data processing frameworks (batch and real-time) such as Spark and Flink, plus storage solutions.
•Design low-latency, reliable data products based on how ML systems consume data (features, inference inputs, labels, and reward signals).
•Design and operate multi-tenant systems for high-scale, high-throughput demands with strong observability (monitoring, logging, alerting).

Skills:CollaborationProduct mindsetAnalytical thinkingOwnershipAdaptability

Tech Stack:JavaScalaSQLSparkFlink

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor