Site Reliability Engineer

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.

Description

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.

Minimum Qualifications

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.

Preferred Qualifications

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.