At Apple, we don’t just build products — we craft experiences that enrich people’s daily lives. The Application Production Support (APS) & 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 massive scale.
We are seeking a motivated Junior Application Support & Site Reliability Engineer with 1 to 2 years of experience to join our fast-paced, agile engineering team. In this role, you will keep mission-critical applications running reliably across multiple environments—triaging production incidents and debugging application, database, core system, and performance bottlenecks through to root cause and permanent remediation.
You will partner cross-functionally with development, QA, database, and infrastructure teams to resolve large-scale production disruptions, eliminate operational toil through automation, and manage platform health using modern observability and emerging GenAI technologies. This is an exceptional opportunity for an engineer with a strong foundation in Linux, relational databases, and programming who wants to build a deep, high-impact career in production and reliability engineering at Apple.
Minimum Qualifications
Experience: 1 to 2 years of combined work experience in Application Production Support (APS), DevOps, Systems Engineering, or Site Reliability Engineering (SRE).
Linux Fundamentals & System Engineering: Solid understanding of Linux/Unix internals (filesystems, process management, networking, permissions, systemd) and core system engineering concepts (servers, services, resource management).
Application & Build Ecosystem: Programming/debugging exposure in Java and Python, along with familiarity with Java-based build tools (Maven, Gradle).
Database Troubleshooting: Strong debugging and querying skills with relational databases such as PostgreSQL, Oracle DB, and MySQL.
Observability & Monitoring: Hands-on exposure to observability and logging platforms (e.g., Splunk, Grafana, Prometheus, Dynatrace).
Incident & Change Management: Proven track record in incident management, triage, and adhering to standard change/configuration management processes.
CI/CD Foundations: Basic understanding of CI/CD concepts and continuous deployment tools (e.g., Jenkins, GitHub Actions).
Modern Tech Exposure: Exposure to GenAI solutions, AI models, and modern AI-assisted developer/support workflows.
Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology or related field
Preferred Qualifications
AI-Assisted Operations: Demonstrated ability to effectively leverage AI/GenAI tools to accelerate log analysis, script generation, and issue investigation.
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).
Infrastructure as Code (IaC): Basic awareness of configuration automation tools (e.g., Ansible, Terraform)