Senior Cloud Traffic Engineer — Scale Global Wallet Traffic

Apple Inc.

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

Apple Inc. in Austin, Texas, seeks a Senior Cloud Traffic Engineer for Apple Pay. You will design, operate, and scale global production traffic infrastructure with a focus on reliability, privacy, and security.

You will work with Go/Python, manage edge deployments, and mentor ICs while improving observability and resiliency through chaos testing and performance tuning. The role combines hands-on engineering with cross-team collaboration in a fast-paced environment.

Qualifications

  • Experience with load balancing (Nginx, Envoy and Envoy Gateway), proxies (Squid) and edge deployments.
  • 6+ years cloud engineering experience.
  • Familiarity with Networking, Security, Logging, and Application Monitoring.
  • Maintaining customer commitments.
  • Navigating the complexities of the business and service reliability.
  • Excellent verbal and written communications skills.
  • Ability to coach & mentor other ICs.
  • Bachelor's degree in computer science or related field, or 10 years of equivalent work experience.

Responsibilities

  • Ensure the highest level of up-time and quality of service to Apple’s customers through operational quality.
  • Design, maintain, and improve global production traffic infrastructure.
  • Own reliability issues using a wide variety of tools.
  • Identify areas to improve service resiliency through chaos engineering, performance testing, and game days.

Skills

Load balancing (Nginx/Envoy)
Cloud engineering
Networking
Security
Logging
Monitoring
Customer commitments
Service reliability
Communication skills
Mentoring
Go
Python

Education

Bachelor's degree in computer science or related field

Job description

Apple Inc. in Austin, Texas, seeks a Senior Cloud Traffic Engineer for Apple Pay. You will design, operate, and scale global production traffic infrastructure with a focus on reliability, privacy, and security.

You will work with Go/Python, manage edge deployments, and mentor ICs while improving observability and resiliency through chaos testing and performance tuning. The role combines hands-on engineering with cross-team collaboration in a fast-paced environment.

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