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Site Reliability Engineer - AI & Data Platforms

Hyderabad, India💼 Full-time🗓 2026-07-22 → 2026-09-28

Core

Design, develop, and operate large-scale distributed data platforms supporting analytics, reporting, and AI/ML applications for Apple's enterprise and customer systems.

Role type

Senior Site Reliability Engineer (Data Platforms)

Builds

Reliable, scalable, and efficient distributed data platform systems and automation tools

Domain

Enterprise technology, Big Data, Cloud Infrastructure, AI/ML Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Python, Golang, Java, distributed systems, data pipelines, cloud platforms (AWS/Azure/GCP), monitoring and alerting, root cause analysis, Kubernetes, Spark, Kafka, Flink, Airflow, DBT, data modeling, data warehousing, GPUs, MLFlow, LLMs

Preferred skills

Open source contributions, multi-tenant Kubernetes management, workflow orchestration, data structures & algorithms, software engineering best practices, secure coding, reusable frameworks

Technologies

Python, Golang, Java, AWS, Azure, Google Cloud Platform, Kubernetes, Spark, Kafka, Flink, Airflow, DBT, MLFlow, GPUs

Responsibilities

Design and automate tools for reliability and scalability; implement advanced monitoring and alerting for on-prem and cloud workloads; troubleshoot and resolve complex production incidents for critical applications; collaborate with development teams to integrate reliability best practices; proactively recommend architectural and operational improvements

Seniority

Senior, hands-on IC

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