Senior Go Engineer, Observability Platform at Scale

Apple, Inc.

Sunnyvale (CA)

On-site

USD 216,000 - 325,000

Full time

30 hours ago
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Benefits offered by this job

Medical & dental coverage
Retirement benefits
Stock program
Education reimbursement
Bonuses & relocation

Job summary

Apple, Inc. in Sunnyvale, California, is seeking a Senior Software Engineer with deep expertise in Go and distributed systems to join our Observability Solutions team. This senior IC role shapes system architecture, mentors engineers, and owns mission-critical services.

You will design high-availability components, drive performance improvements, and collaborate with architects to raise the bar across the stack while delivering scalable backend services for petabytes of data.

Qualifications

  • Bachelor's degree in CS/CE or equivalent.
  • 3+ years of Go experience.
  • Hands-on experience building or scaling large data workloads.
  • Hands-on experience with RDBMS or NoSQL.
  • 10+ years of overall experience.
  • Experience with observability stacks: Prometheus, Elasticsearch, APM.

Responsibilities

  • Architect and deliver highly available, fault-tolerant distributed systems.
  • Design and build core backend services in Go with performance focus.
  • Drive technical strategy and architecture decisions.
  • Lead design reviews and establish engineering best practices.
  • Identify performance bottlenecks and drive improvements across the stack.
  • Mentor engineers through code reviews and coaching.

Skills

Go
Distributed systems
10+ years experience
Large data workloads

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

Prometheus
Elasticsearch
APM tools

Job description

Apple, Inc. in Sunnyvale, California, is seeking a Senior Software Engineer with deep expertise in Go and distributed systems to join our Observability Solutions team. This senior IC role shapes system architecture, mentors engineers, and owns mission-critical services.

You will design high-availability components, drive performance improvements, and collaborate with architects to raise the bar across the stack while delivering scalable backend services for petabytes of data.

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