Mid Level Sre Engineer Jobs
Mid level sre engineer jobs go to engineers ready to own reliability systems end to end, mentor junior teammates, and shape incident response and observability decisions with minimal oversight. Openings run across Technology & Software, Electronics & Hardware, and Banking & Financial Services, with 33% remote or hybrid availability, and employers like TikTok USDS Joint Venture, Braze, and Fivetran 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 & Software34
- Electronics & Hardware5
- Banking & Financial Services4
- Staffing & Recruiting3
- Investment & Asset Management3
Mid Level Sre Engineer Jobs: Frequently Asked Questions
How do I get a mid level sre engineer job?
Position your experience around ownership, not just contribution. Highlight systems you designed or improved, incidents you led from detection to postmortem, and reliability wins you can quantify. Tailor your resume to show you operate with limited oversight, not just that you execute tasks. A portfolio of on-call experience, tooling work, and cross-team projects signals mid level readiness faster than years alone.
Which companies hire mid level sre engineers?
Companies hiring mid level sre engineers right now include TikTok USDS Joint Venture, Braze, and Fivetran, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, from high-growth technology companies scaling their infrastructure to large enterprises modernizing legacy systems and building out dedicated reliability functions.
Are there remote mid level sre engineer jobs?
Yes, remote options are common at this level. About 33% of mid level sre engineer openings are remote or hybrid as of November 2026, reflecting how widely distributed infrastructure work has become. Many teams operate across time zones, making mid level sre engineers with strong async communication and documentation habits especially competitive for fully remote positions.
How do I move up to a mid level sre engineer role?
The shift from entry level to mid level comes from building depth, not just time. Focus on owning a system or service end to end, leading incident response rather than just participating, and contributing to architecture or tooling decisions. Demonstrating measurable reliability improvements, writing runbooks others use, and taking on cross-functional work shows the ownership mindset that mid level roles require.
Which industries hire the most mid level sre engineers?
Mid Level sre engineer roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they operate at scale, where reliability directly affects revenue, user retention, and compliance, making mid level engineers who can own production systems a consistent priority.