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, Trino, Druid, 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 the big data engines and catalog/governance layers that power analytics and data engineering across the company.

As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from ML/AI platform services to multi-cloud infrastructure, and grow into the team's go-to expert for big data platform services — including Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services (such as Glue Catalog), and data governance. Just as importantly, you'll be a first point of contact for the internal customers who rely on these services daily — someone who can translate a confusing error or a vague support request into a clear diagnosis and a fast resolution.

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 team-oriented instinct to keep that work aligned with the team's broader direction. If you love solving hard operational problems,



take genuine satisfaction in helping frustrated customers get unblocked, and want a front-row seat to how Apple's data engineering platform scales, this role offers real room to grow your scope and impact over time.

Responsibilities

- Operate with a customer-centric mindset to screen, monitor, and triage production and non-production environments encompassing data processing, ML/AI, and multi-cloud infrastructure.
- Participate in a rotating on-call schedule across supported services, including occasional weekday and weekend coverage.
- Serve as a primary point of contact for internal customers seeking technical resolution — clearly communicating status, root cause, and next steps during active issues.
- Own the operational health of big data platform services as SME — driving reliability, support, and customer guidance.
- Partner with dev teams across time zones to own the customer experience for services — understanding architecture and establishing the observability benchmarks
- Build automation and self-healing tooling that reduce manual toil and scales the team's operational capacity.
- Identify, escalate, and resolve production issues to protect platform reliability and customer experience.
- Champion customer success by helping internal teams understand platform capabilities and adopt tools effectively.
- Collaborate with SRE and dev partner teams, engineering, and program management to align execution with team and org goals.

Minimum Qualifications

- Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
- 7+ years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
- Proficient in scripting languages (Shell, Python)




- Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
- Strong Experience with Kubernetes and AWS services- handling IAM (roles, policies, permission boundaries, KMS), EKS, RDS, S3 and cloud storage/networking fundamentals.
- Strong experience with implementing observability systems and practices: metrics, logging, tracing, alerting, SLOs, error budgets, and fault analysis at scale with tools like Prometheus, Grafana, Splunk, PagerDuty.
- Excellent written and verbal communication skills, with the ability to explain technical issues clearly to non-expert customers.
- Solid grounding in SRE principles, with prior on-call, production-support, or customer-facing support role experience.

Preferred Qualifications

- Familiarity with MCP-based tooling and ML lifecycle/dataset management systems.
- Prior experience in a customer-facing or technical support role, with a demonstrated passion for customer success.
- Working knowledge of CI/CD pipelines and deployment workflows.
- Familiarity with data pipeline orchestration and workflow scheduling patterns.
- Proficient in handling production databases and distributed-SQL engines with experience in Query Tuning and Optimizations.
- 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.
- Comfortable leveraging AI-assisted development tools (e.g., Claude Code) to accelerate prototyping, code generation, and documentation, and able to critically review and validate AI-generated output before it ships.

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. Learn about accessibility in Apple’s workplace

Role Number: 200690961-0321

📌 Service Reliability Engineer- Apple Data Platforms (Bengaluru)
🏢 Apple
📍 Bengaluru