Application Reliability Engineer

Apple; Bengaluru; Presencial; INR 1.500.000 - 2.200.000; Jornada completa

Descripción de la vacante

Apple in Bengaluru seeks an Application Reliability Engineer to own the reliability of a high-scale payments platform, driving incident analysis, root cause resolution, and automation across distributed services powering Apple Pay and related finance systems.

The ideal candidate has strong JVM language experience (Java), plus Python/Go or C++, with production debugging, observability, and performance tuning skills, and a proactive mindset to build resilient, scalable infrastructure.

Formación

• 5-7 years of experience in software engineering, application support, or SRE roles for critical, high-scale production systems.
• Strong Java/JVM language skills with proficiency in at least one of Python, Go, or C++, or Shell scripting.
• SQL and database troubleshooting experience (Oracle, MongoDB, PostgreSQL).
• Practical understanding of concurrency, threading, and asynchronous processing and failure modes.
• Experience with observability stacks (logs, metrics, traces) to diagnose app-level issues.
• Strong Linux/Unix fundamentals including process management and cron.
• Performance profiling and troubleshooting to identify resource leaks and timeouts.
• Experience troubleshooting production incidents and driving root cause resolution.
• Self-starter with customer focus and desire to learn the ecosystem of frontend/backend interactions.
• Strong communication skills and ability to write engineering proposals and playbooks.

Responsabilidades

• Dig into problems such as thread starvation, connection pool exhaustion, and resource leaks using logs, metrics, and traces.
• Collaborate with Application Engineering, Production Support, Infrastructure, and DBA teams and communicate RCAs and remediation plans across stakeholders.
• Reproduce failures, read/modify production code to implement permanent fixes, and add detection or prevention mechanisms.
• Automate detection and prevention to ensure issues do not recur.
• Contribute to system reliability through root cause analysis and performance improvements.

Conocimientos

Java

Python

Go

C++

Shell scripting

Concurrency & threading

Linux/Unix

Observability

Production debugging

Herramientas

Docker

Kubernetes

AWS

GCP

Descripción del empleo

Summary

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Payments and Financial Engineering builds the systems that power Apple's Finance and Accounting capabilities, processing very high-volume micro-transactions across Apple Pay, App Store, iTunes, Retail, Online, and Reseller channels to ensure accurate invoicing, disbursements, receipts, and payments. We are looking for an Application Reliability Engineer (ARE) to own the operational health of this platform - driving problem management, root cause resolution, and automation across a distributed, high-scale system that underpins a majority of Apple's revenue.

Description

In this role, you will be a strong software engineer with production-debugging and distributed-systems expertise, responsible for the reliability of a mission-critical payments platform - not simply triaging and closing incidents, but diagnosing, automating, and permanently eliminating the underlying application issues. You will reproduce failures, read and modify production code to implement the fix, and add detection or prevention mechanisms so the same class of issue doesn't recur.

Key Responsibilities

You will dig into problems such as consumer/thread starvation, blocked threads, connection pool exhaustion, file watcher behavior, queue offset and retry/dead-letter behavior, stale connections, resource leaks, scheduler behavior, application state issues, dependency timeouts, and race conditions - using logs, metrics, and traces to isolate root cause across a distributed system.You will work closely with Application Engineering, Production Support, Infrastructure, and DBA teams, and communicate production trends, RCAs, and remediation plans to stakeholders across Finance, Business Operations, and Engineering.

Minimum Qualifications

5-7 years of experience in software engineering, application support, or SRE roles for critical, high-scale production systems, ideally in a payments, financial, or transaction-processing domain.Strong programming skills in Java or another JVM language, with working proficiency in at least one of Python, Go, or C++, or Shell Scriptng.Ability to read, debug, and modify production code to implement permanent fixes, not just workarounds.SQL and database troubleshooting experience (e.g., Oracle, MongoDB, PostgreSQL), including diagnosing connection pool exhaustion, stale connections, and slow queries.Practical understanding of concurrency, threading, and asynchronous processing, and the failure modes they introduce (thread/consumer starvation, blocked threads, race conditions)Experience with observability stacks - logs, metrics, and traces - to diagnose application-level observability gaps and reproduce failuresStrong Linux/Unix fundamentals, including process management, file permissions, and cronPerformance profiling and troubleshooting experience, including identifying resource leaks and dependency timeoutsExperienced in troubleshooting and driving root cause resolution of production incidents, including identifying performance bottlenecks and proposing fixesSelf-starter with strong customer and product focus, and a desire to gain awareness of an ecosystem and how frontend and backend systems collaborate.Ability to communicate thoughtfully, write engineering proposals and support playbooks, leverage problem-solving skills, build a learning mindset and establish long-term relationships.

Preferred Qualifications

Experience with containerization and orchestration (Docker, Kubernetes)Familiarity with CI/CD systems and infrastructure fundamentals across prod/non-prod environmentsExperience with cloud platforms (AWS, Azure, GCP), including managed services and cloud migrationExperience with caching systems (Redis, Memcached) and messaging/queueing systems (Kafka, SQS, RabbitMQ), including queue offset management and retry/dead-letter handling.Working knowledge of system design principles applicable to high-throughput, high-availability platforms.Experience with distributed storage systems (S3, GridFS).Track record of building tools or frameworks that detect and prevent recurring classes of production issues.Experience setting up trend analysis or observability processes to proactively identify chronic issues.Solid grounding in REST/API and distributed-systems fundamentalsContributions to system design reviews or architecture discussions focused on reliability and scalability.