Site Reliability Engineer, Edge Services

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Austin, TX
Posted
162 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $179k
$122k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,350–$214,000.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Site Reliability Engineer, Edge Services

The Site Reliability Engineer (Edge Services), Infrastructure Services joins the SRE team to evolve production ecosystems by treating operations as a software problem. You will design and implement a next-generation observability and alerting strategy, building self-healing systems and reducing toil through aggressive automation. Your daily work involves baking reliability into CI/CD pipelines and identifying performance bottlenecks before they impact users. You will utilize Python, Go, Linux internals, and networking protocols including HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS. Technical requirements include managing Prometheus, Grafana, and ClickHouse, alongside knowledge of Data Structures and Algorithms. You will also apply SLIs, SLOs, and Error Budgets while potentially using Terraform, Ansible, Pulumi, and Kubernetes to manage cloud environments and containerized workloads.

What does a Site Reliability Engineer earn?

Median $180200 from 121 postings across 36 companies.

See salary data

What you'll do

  • Design and implement a next-generation observability and alerting strategy using high-cardinality data.
  • Build self-healing systems and reduce operational toil through aggressive automation.
  • Integrate reliability requirements directly into the CI/CD pipeline with development teams.
  • Debug protocol-level issues and optimize traffic flow for HTTP/2, HTTP/3, and TLS.
  • Manage and configure monitoring suites like Prometheus, Grafana, and ClickHouse to create actionable alerts.
  • Scale and secure containerized workloads using Kubernetes and Infrastructure as Code tools.
  • Lead blameless post-mortems to identify root causes and harden systems against future failures.
  • Apply Generative AI tools to accelerate observability query construction and build AI-assisted debugging workflows.

What we're looking for

  • B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
  • Understanding of Linux internals and deep networking expertise, including HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS.
  • Proven ability to automate repetitive tasks and complex workflows using Python or Go.
  • Experience configuring and managing modern monitoring suites like Prometheus, Grafana, and ClickHouse.
  • Grasp of Data Structures and Algorithms to write efficient code and troubleshoot system bottlenecks.
  • Practical knowledge of SLIs, SLOs, Error Budgets, Release Management, and Incident Management.
  • Experience managing cloud environments using Terraform, Ansible, or Pulumi (preferred).
  • Hands-on experience scaling and securing containerized workloads via Kubernetes (preferred).

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