Site Reliability Engineer (Edge Services), Infrastructure Services

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
18 days ago

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Salary context

How this pay compares to similar roles

Similar $182k
$128k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $142,412–$222,000.

Based on 238 similar postings.

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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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Site Reliability Engineer (Edge Services), Infrastructure Services

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Join our Infrastructure Services team as a Site Reliability Engineer (SRE) focusing on Edge Services, where you will drive the evolution of our production ecosystems by designing and implementing advanced observability and alerting strategies. Your daily tasks include automating repetitive operations, optimizing traffic flow using deep networking expertise, and collaborating with development teams to integrate reliability into CI/CD pipelines. You will leverage Python or Go for automation, manage modern monitoring tools like Prometheus and Grafana, and apply Data Structures and Algorithms to enhance system performance. Ideal candidates have experience in cloud environments such as AWS, GCP, or Azure, Kubernetes orchestration, and leading blameless post-mortems to improve system resilience. Additionally, familiarity with Generative AI tools for observability and debugging is highly valued, aiming to shift from reactive to proactive engineering practices.

Skills

Python Go Prometheus Grafana Terraform Kubernetes AWS CI/CD SLIs SLOs Error_Budgets Release_Management Incident_Management Linux HTTP/2 HTTP/3 QUIC HTTPS TLS Data_Structures_and_Algorithms Generative_AI

What you'll do

  • Design and implement advanced observability and alerting strategies for high-cardinality data.
  • Build self-healing systems through aggressive automation to reduce operational toil.
  • Partner with development teams to integrate reliability into CI/CD pipelines.
  • Optimize traffic flow by debugging protocol-level issues in HTTP/2, HTTP/3, and HTTPS/TLS.
  • Manage modern monitoring suites like Prometheus, Grafana, and ClickHouse for high-quality alerts.
  • Consult on service design to enhance long-term maintainability and resilience.

What we're looking for

  • Deep understanding of Linux internals and expertise in HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS.
  • Proven ability to automate tasks using Python or Go for complex workflows.
  • Experience configuring modern monitoring tools like Prometheus, Grafana, and ClickHouse.
  • Knowledge of SLIs, SLOs, error budgets, release management, and incident management.
  • Practical application of data structures and algorithms to optimize system performance.
  • Hands-on experience with Kubernetes for scaling and securing containerized workloads.

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