Apple

Site Reliability Engineer

Hyderabad · On-site · 1–2 yrs · Junior · Full-time

  • linux
  • java
  • python
  • postgres
  • oracle
  • mysql
  • nosql
  • snowflake
  • etl
  • splunk

Junior SRE with 1–2 years experience to maintain mission-critical systems and cloud services at Apple Hyderabad.

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Posted 19 Oct 2026 · found on Apple's own careers page

Interview prep: questions this posting points to

Written from 8 current Site Reliability postings on Apple's own careers page — not questions Apple has asked.

  1. Walk me through how you'd design a phishing or fraud anomaly detection pipeline that has to run over petabytes of data. Where does the ML model fit versus rule-based pattern detection, and how would you keep false positives manageable at Apple's scale?
    From the posting: “participate in building machine learning pipelines, phish/fraud/anomaly detection models”
  2. You're on-call for the payments platform and start seeing connection pool exhaustion errors along with a spike in slow queries against Oracle. Walk me through how you'd triage this live, in production, right now.
    From the posting: “diagnosing connection pool exhaustion, stale connections, and slow queries”
  3. Apple's IS&T supports 2.5 billion active Apple devices and processes billions of secure transactions. Tell me about a time you had to work on a system at similar scale or complexity, and how you approached the challenge.
    From the posting: “Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly”
See all 69 questions More on this prep
Read the full job description

At Apple, we don’t just build products — we craft experiences that enrich people’s daily lives. The Site Reliability Engineering (SRE) team is responsible for ensuring that mission-critical enterprise systems and customer-facing cloud services operate with high availability, resilience, and performance at scale. We are seeking a motivated Junior Site Reliability Engineer with 1–2 years of experience in Site Reliability Engineering (SRE), Application Production Support (APS), DevOps, or Systems Engineers to join our fast-paced, agile engineering team. In this role, you will help maintain application reliability by investigating production incidents, troubleshooting application and database issues, resolving data pipeline failures, and identifying performance bottlenecks through root-cause analysis.

You will collaborate with development, QA, database, data, and infrastructure teams to improve service reliability, automate operational tasks, and support modern observability practices, including AI service traceability and dependency monitoring. Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, or a related field.

Experience

1–2 years of combined work experience in Site Reliability Engineering (SRE), Application Production Support (APS), DevOps, or Systems Engineering. Linux Fundamentals & System Engineering: Solid understanding of Linux/Unix internals, including filesystems, process management, networking, permissions, system services, and resource utilization. Application & Programming: Knowledge of programming languages such as Java and Python, with the ability to read code, debug applications, and write scripts to automate operational tasks. Database Troubleshooting: Strong debugging and querying skills with relational databases such as PostgreSQL, Oracle DB, and MySQL, along with familiarity with NoSQL databases, Snowflake, ETL, and data pipeline troubleshooting.

Observability & Monitoring: Familiarity with logging, monitoring, and observability platforms such as Splunk, Grafana, Prometheus, and Dynatrace. Knowledge of AI traceability tools such as Langfuse and LangSmith is beneficial. Incident & Change Management: Understanding of incident triage, production issue resolution, root-cause analysis, and standard change and configuration management processes. CI/CD Foundations: Basic understanding of CI/CD concepts and continuous deployment tools such as Jenkins and GitHub Actions.

Modern Technology & AI Operations: Familiarity with GenAI solutions, AI models, and AI-assisted workflows. Ability to troubleshoot AI dependencies, including model availability, token consumption, API quotas, rate limits, and latency. Understanding of alerting against defined latency objectives, including a sub-500 ms target where applicable, and troubleshooting staging or experimental environments that differ from production. Operational Reliability & Security: Ability to follow provisioning and recovery run books, troubleshoot environment configuration issues, and support certificate renewals, certificate expiry monitoring, and secrets management.

Containers & Orchestration: Hands-on experience with Docker containers and foundational knowledge of Kubernetes concepts. Cloud Infrastructure: Familiarity with public or private cloud platforms (AWS, GCP, or Azure). Security Operations (SecOps): Basic knowledge of security operations, certificate lifecycle practices, and secure configuration management. SIEM & Security Monitoring: Familiarity with SIEM tools for monitoring security events, investigating alerts, and identifying suspicious activity.

AI-Assisted Operations: Ability to leverage AI/ GenAI tools to accelerate log analysis, script generation, and issue investigation. Infrastructure as Code (IaC): Basic awareness of configuration and infrastructure automation tools such as Ansible and Terraform.

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