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

Apple, Inc.; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Apple Inc. is seeking a Junior Application Support & Site Reliability Engineer to join the IS&T Sales Engineering team in Bengaluru.

The role focuses on keeping mission-critical enterprise systems and customer-facing cloud services running reliably at scale, triaging incidents, and debugging across applications, databases, and core services. You will work with cross-functional teams to reduce toil, automate repetitive tasks, and improve observability using Splunk, Prometheus, Grafana, and

Qualifications

• 1–2 years of Application Production Support, DevOps, Systems Engineering, or SRE experience.
• Solid understanding of Linux/Unix internals and core system concepts.
• Programming/debugging in Java and Python; familiarity with Maven/Gradle.
• Strong debugging and querying skills with PostgreSQL, Oracle DB, and MySQL.
• Hands-on observability and logging platforms (Splunk, Grafana, Prometheus, Dynatrace).
• Experience with incident management and change/configuration processes.
• Basic understanding of CI/CD concepts and tools (Jenkins, GitHub Actions).
• Exposure to GenAI tools and AI-assisted workflows.

Responsibilities

• Monitor health, performance, and capacity of mission-critical apps across multi-region environments.
• Triage production alerts, outages, and system anomalies; participate in on-call rotations.
• Investigate and debug end-to-end bottlenecks across application and database layers.
• Perform database diagnostics and tuning across PostgreSQL, Oracle DB, MySQL.
• Develop automation scripts to reduce toil and speed incident resolution.
• Support CI/CD pipelines, canary tests, and deployment validations.
• Leverage GenAI-assisted workflows for faster incident analysis and documentation.

Skills

Linux fundamentals

Java & Python

DB Troubleshooting

Observability & Monitoring

CI/CD foundations

Incident & Change management

GenAI workflows

Bachelor’s degree or equivalent in CS/

Education

Bachelor’s degree in Computer Science/Engineering/IT

Tools

Docker

Kubernetes basics

Jenkins

GitHub Actions

Prometheus

Grafana

Dynatrace

Maven/Gradle

Job description

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

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.

Responsibilities

• High-Availability Operations: Monitor the health, performance, and capacity of mission-critical applications and services across multi-region environments.
• Incident Triage & Response: Act as a first-line responder to production alerts, outages, and system anomalies, participating in on-call rotations and rapid-response workflows.
• End-to-End Troubleshooting: Investigate and debug complex application, core system, network, and performance bottlenecks through to resolution.
• Database Diagnostics: Perform database-level troubleshooting, query analysis, data verification, and performance tuning across PostgreSQL, Oracle DB, and MySQL environments.
• Root-Cause Analysis (RCA): Partner with development, QA, database, and infrastructure teams to identify underlying root causes and implement permanent fixes.
• Observability & Alerting: Build and refine telemetry dashboards, log aggregations, and alerting rules using tools such as Splunk, Prometheus, Grafana, and Dynatrace to eliminate blind spots.
• Service Level Tracking: Track and uphold key reliability metrics (SLIs/SLOs) to minimize Time to Detect (TTD) and Time to Mitigate (TTM).
• Toil Reduction & Automation: Develop robust scripts and tools (Python, Bash) to automate repetitive operational tasks, health checks, and routine maintenance.
• Release & CI/CD Enablement: Support production deployments, CI/CD pipeline runs (Jenkins, GitHub Actions), build validations (Maven, Gradle), and canary/smoke testing.
• Change & Configuration Governance: Execute production change requests (CRs) in accordance with enterprise change management and risk assessment standards.
• Continuous Improvement & Modern Tooling: Leverage modern engineering practices and GenAI-assisted workflows to accelerate log analysis, incident documentation, and operational efficiency.

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)

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