SRE Manager, Apple Services Engineering

Apple Inc

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Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $225,600–$338,400 / yr
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k

This role $282k

$155k $358k

below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $282k versus about $229k for comparable roles.

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 3552 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2753 roles with salary data.

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At a glance

TL;DR · SRE Manager, Apple Services Engineering

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The SRE Manager, Apple Services Engineering leads a team of Site Reliability Engineers responsible for the reliability, operability, and performance of customer-facing cloud services. This leader owns the technical direction and people management for the team, including hiring, performance, and career growth. Day-to-day responsibilities involve planning roadmaps, tracking service health through SLOs, managing incidents, and overseeing release quality. The role requires a hands-on leader who can engage in code-level reviews and provide deep technical context during production issues. Key skills include experience with distributed production services, capacity planning, and disaster recovery. Candidates must be fluent in Java, Python, or Go. Preferred technical competencies include Kubernetes, service proxies, load balancing, messaging systems, infrastructure-as-code, and continuous-delivery tooling to reduce toil and improve operational outcomes.

Skills

SRE Java Python Go Kubernetes infrastructure-as-code Observability SLOs Capacity Planning disaster-recovery Configuration Management Load Balancing Caching Systems

What you'll do

Own the technical direction and decision-making for products and domains in alignment with organizational priorities.
Plan and prioritize the team roadmap, including sprint planning and project tracking for the next 6–24 months.
Monitor service health using SLOs, incident trends, release quality, and capacity forecasts to drive data-driven decisions.
Lead incident response and production-issue mitigation while providing deep technical context during critical events.
Manage the full people lifecycle, including hiring, resourcing, performance management, and career growth for SRE engineers.
Partner with engineering teams to ensure services are observable, resilient, and scalable through automation and tooling.
Communicate team, product, and project health transparently to engineering leadership and partner teams.

What we're looking for

Bachelor's degree in Computer Science or a related field, or equivalent experience.
Experience operating and improving distributed, customer-facing production services at scale.
2+ years of experience managing or leading engineering or SRE teams, including hiring and performance management.
Experience as a technical lead for a production service or team with hands-on contributions.
Experience with release and deployment processes, including gradual rollout practices and configuration management at scale.
Experience with capacity planning, scale testing, and disaster-recovery/fail-over exercises for stateful and stateless services.
Experience with observability tooling using metrics, logging, tracing, and SLOs to drive planning.
Fluency in at least one of Java, Python, or Go for technical discussions and code-level reviews.
Familiarity with container orchestration, service proxies, load balancing, messaging, and infrastructure-as-code (preferred).
Experience driving cross-team standardization or sponsoring organization-wide process and tooling initiatives (preferred).
Experience using automation or AI-assisted workflows to reduce toil (preferred).

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