Mid Level Staff Site Reliability Engineer Jobs
Mid level staff site reliability engineer jobs call for engineers ready to own reliability initiatives end to end, drive incident response decisions with limited oversight, and mentor junior engineers on production best practices. Openings run across Technology & Software, Staffing & Recruiting, and Electronics & Hardware, with 29% remote or hybrid availability, and employers like TikTok USDS Joint Venture, Braze, and Baseten hiring at this level now.
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SUMMARY
The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books — at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success — running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Ray, Notebooks and LLM-based agent platforms reliable at scale.
DESCRIPTION
This is a rare opportunity to build deep expertise across one of the most technically diverse platforms at Apple — while specialising in an area that's shaping the future of how Apple builds and operates AI. As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from big data pipelines to multi-cloud infrastructure, and grow into the team's go-to expert for ML/AI platform services — including Ray training and serving, LangGraph agent deployments, RAG architectures, embeddings platforms, and vector store platforms. You won't be building the models yourself, but you'll be the infrastructure backbone behind the teams who do — keeping their services, pipelines, and platforms running flawlessly in production so they can focus on innovation. We're looking for a self-motivated engineer who thrives on ownership — someone who wants a set of services to call their own, the autonomy to drive their reliability roadmap, and the collaborative instinct to keep that work aligned with the team's broader direction. If you love solving hard operational problems, enjoy being the trusted expert customers turn to, and want a front-row seat to Apple's ML/AI infrastructure evolution, this role offers real room to grow your scope and impact over time.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
- 3+ years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
- Proficient in Python; working knowledge of Golang a plus.
- Experience with Kubernetes and at least one major cloud provider (AWS or GCP).
- Exposure to operating or supporting ML pipelines, model-serving infrastructure, or LLM-based systems in production.
- Strong communication skills and composure under pressure during incidents.
- Solid grounding in SRE principles, with prior on-call or production-support experience.
PREFERRED QUALIFICATIONS
- Hands-on experience operating or supporting Ray (training/serving), LangGraph or similar agent orchestration frameworks, RAG architectures, embeddings platforms, or vector store platforms.
- Familiarity with MCP-based tooling and ML lifecycle/dataset management systems.
- Experience with S3 and cloud storage/networking fundamentals.
- Familiarity with observability tooling: Prometheus, Grafana, Splunk, PagerDuty.
- Working knowledge of CI/CD pipelines and deployment workflows.
- Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
- A track record of automating manual operations through scripting or tooling.
- Intellectual curiosity and a drive to keep learning — for yourself, your team, and the org.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books — at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success — running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Ray, Notebooks and LLM-based agent platforms reliable at scale.
DESCRIPTION
This is a rare opportunity to build deep expertise across one of the most technically diverse platforms at Apple — while specialising in an area that's shaping the future of how Apple builds and operates AI. As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from big data pipelines to multi-cloud infrastructure, and grow into the team's go-to expert for ML/AI platform services — including Ray training and serving, LangGraph agent deployments, RAG architectures, embeddings platforms, and vector store platforms. You won't be building the models yourself, but you'll be the infrastructure backbone behind the teams who do — keeping their services, pipelines, and platforms running flawlessly in production so they can focus on innovation. We're looking for a self-motivated engineer who thrives on ownership — someone who wants a set of services to call their own, the autonomy to drive their reliability roadmap, and the collaborative instinct to keep that work aligned with the team's broader direction. If you love solving hard operational problems, enjoy being the trusted expert customers turn to, and want a front-row seat to Apple's ML/AI infrastructure evolution, this role offers real room to grow your scope and impact over time.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
- 3+ years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
- Proficient in Python; working knowledge of Golang a plus.
- Experience with Kubernetes and at least one major cloud provider (AWS or GCP).
- Exposure to operating or supporting ML pipelines, model-serving infrastructure, or LLM-based systems in production.
- Strong communication skills and composure under pressure during incidents.
- Solid grounding in SRE principles, with prior on-call or production-support experience.
PREFERRED QUALIFICATIONS
- Hands-on experience operating or supporting Ray (training/serving), LangGraph or similar agent orchestration frameworks, RAG architectures, embeddings platforms, or vector store platforms.
- Familiarity with MCP-based tooling and ML lifecycle/dataset management systems.
- Experience with S3 and cloud storage/networking fundamentals.
- Familiarity with observability tooling: Prometheus, Grafana, Splunk, PagerDuty.
- Working knowledge of CI/CD pipelines and deployment workflows.
- Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
- A track record of automating manual operations through scripting or tooling.
- Intellectual curiosity and a drive to keep learning — for yourself, your team, and the org.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
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Who's Hiring
Top Industries Hiring
- Technology & Software35
- Staffing & Recruiting3
- Electronics & Hardware3
- Banking & Financial Services3
- Investment & Asset Management3
Mid Level Staff Site Reliability Engineer Jobs: Frequently Asked Questions
How do I get a mid level staff site reliability engineer job?
Position yourself by highlighting ownership, not just participation. Recruiters at this level want to see that you led an on-call rotation, reduced error budgets through targeted changes, or built out observability tooling independently. Tailor your resume to show measurable outcomes, such as improved availability percentages or reduced mean time to recovery, and be specific about the production systems you personally owned rather than supported.
Which companies hire mid level staff site reliability engineers?
Companies hiring mid level staff site reliability engineers right now include TikTok USDS Joint Venture, Braze, and Baseten, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of organizations, including large technology platforms, financial services firms, and healthcare companies that run complex distributed systems requiring dedicated reliability ownership.
Are there remote mid level staff site reliability engineer jobs?
Yes, remote work is well established in this field. About 29% of mid level staff site reliability engineer openings are remote or hybrid as of November 2026, reflecting how broadly engineering teams have adopted distributed operating models. On-call and incident response responsibilities are typically handled asynchronously or through rotations that account for time zones.
How do I move up to a mid level staff site reliability engineer role?
Moving from entry level to mid level takes deliberate expansion of scope over time. Focus on taking ownership of a full service or system rather than completing assigned tasks, documenting runbooks and postmortems that others rely on, and demonstrating that your reliability improvements had measurable impact on uptime or deployment frequency. Picking up infrastructure-as-code or platform engineering depth alongside core SRE skills accelerates the transition.
Which industries hire the most mid level staff site reliability engineers?
Mid Level staff site reliability engineer roles concentrate in Technology & Software, Staffing & Recruiting, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in reliability engineering at the mid level because they operate high-traffic, regulated, or customer-critical systems where ownership of uptime and incident response directly affects business outcomes.