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Site Reliability Engineer (Edge Services), Infrastructure Services

Apple - Austin, United States of America

Posted May 18, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Learning budget
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Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Weekend work
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About this role

Site Reliability Engineer (Edge Services), Infrastructure Services Austin, United States of America We are seeking a proactive Site Reliability Engineer to champion the evolution of our production ecosystems. In this role, you will help drive the vision for our visibility, moving beyond simple uptime metrics to build a sophisticated, data-driven reliability framework. You will play a pivotal role in ensuring our services are resilient, scalable, and observable, bridging the gap between complex distributed systems and seamless user experiences. As a key member of the SRE team, your mission is to treat operations as a software problem. You will focus on designing and implementing a next-generation observability and alerting strategy that prioritizes high-cardinality data and meaningful signals over noise. You will spend your time building "self-healing" systems, reducing toil through aggressive automation, and partnering with development teams to bake reliability into the CI/CD pipeline. Your goal is to move us toward a proactive stance where performance bottlenecks are identified and mitigated before they impact the customer. Minimum Qualifications: Understanding of Linux internals and deep networking expertise, including HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS. You should be comfortable debugging protocol-level issues and optimizing traffic flow. Proven ability to automate repetitive tasks and complex workflows using Python or Go Experience configuring and managing modern monitoring suites (e.g., Prometheus, Grafana, ClickHouse) with a focus on creating actionable, high-signal quality alerting. Grasp of Data Structures and Algorithms (DSA) to write efficient, performant code and troubleshoot complex system bottlenecks. Practical knowledge of SLIs, SLOs, Error Budgets, Release

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