ASE Compute - Lead SRE Software Engineer - Jobs - Careers at Apple
- Own the architecture and technical direction for our controllers and namespace management infrastructure, from design through production operation at global scale.
- Find and fix the reliability problems that only appear past the point where upstream defaults and community guidance stop working, build each fix into the platform so the same class of problem does not come back, and automate the operational load that cannot be designed away.
- Set the reliability standards for the platform: SLOs, error budgets, alerting philosophy, upgrade and rollout strategy, and the runbooks that follow from them.
- Take on-call, lead incident response for the hardest production issues, and see the post-incident follow-up work through so the same incident does not happen twice.
- Represent Apple in the upstream Kubernetes community, driving our requirements through design proposals and code in the relevant SIGs.
- Grow the engineers around you through design review, code review, and direct mentoring.
- Lead cross-team technical efforts through ambiguity, and advise partner service teams and their leadership on platform capabilities and tradeoffs, shaping both their designs and the Compute roadmap.
- Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience
- 8+ years in a Site Reliability Engineering, DevOps, or Infrastructure focused role
- Deep experience operating large-scale, multi-tenant Kubernetes environments in production
- Strong systems background — comfortable troubleshooting across the full stack (network, OS, container runtime, application)
- Expert-level Go, with a track record of shipping and owning controllers or operators that other teams depend on.
- Experience with configuration management at scale (Puppet, Ansible, or equivalent)
- Demonstrated ability to drive cross-functional initiatives to completion
- Strong written and verbal communication skills
- Experience with third-party cloud platforms (AWS, GCP, or Azure)
- Familiarity with bare-metal provisioning and lifecycle management at datacenter scale
- Understanding of cloud-native observability (Prometheus, Thanos, Splunk, or similar)
- Experience running infrastructure as an internal managed service with defined SLAs
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🇬🇧 English