Junior Application Support & Site Reliability Engineer - Sales Engineering,IS&T

Junior Application Support & Site Reliability Engineer - Sales Engineering,IS&T

Summary

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.”

Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

Sales and Operations Engineering is part of IS&T and drives the technology behind Apple's global operations, sales, and supply chain. The team connects the systems that move products from factory to customer — bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apple's technology and business priorities move in lockstep.

Description

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.

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)

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

Experience Level

Entry Level