Senior Software Engineer, Distributed Traffic & Scale

Netflix, Inc.; Seattle (WA); On-site; USD 388,000 - 619,000; Full time

Benefits offered by this job

Health Plans

Mental Health support

401(k) Retirement Plan with employer"s

Stock Option Program

Disability Programs

Health Savings and Flexible Spending

Family-forming benefits

Life and Serious Injury Benefits

Paid leave of absence programs

Job summary

Netflix, Inc. is seeking a senior Traffic Engineer to design, build, and operate the core infrastructure that manages traffic across Netflix’s cloud and edge environments. You will help ensure a fast, reliable streaming experience during live events and spikes in demand.

You will work with Data Science to develop predictive models for scaling and failover, architecting robust, fault-tolerant systems and collaborating with multiple teams to deliver high-impact solutions.

Qualifications

• 7+ years experience crafting complex, scalable distributed data infrastructure.
• Experience in traffic is preferred.
• Proficiency in Java, Golang, or Python with a solid understanding of memory management.
• Able to break down complexity, iterate, and communicate progress to a wide variety of partners and stakeholders.
• Proven track record of developing and maintaining high-impact systems.
• Experience building and operating scalable, fault-tolerant, distributed systems.
• Automation and orchestration frameworks for scaling and reliability.
• Experience in predictive modeling and data pipelines for traffic shaping and scaling.
• BS in Computer Science or a related field.

Skills

Java

Golang

Python

Multithreading

Memory management

Communication

Problem solving

Education

BS in Computer Science

Job description

Netflix, Inc. is seeking a senior Traffic Engineer to design, build, and operate the core infrastructure that manages traffic across Netflix’s cloud and edge environments. You will help ensure a fast, reliable streaming experience during live events and spikes in demand.

You will work with Data Science to develop predictive models for scaling and failover, architecting robust, fault-tolerant systems and collaborating with multiple teams to deliver high-impact solutions.