5,085 jobs for "data and analytics"

Software Site Reliability Engineer - AI & Data Platforms

At Apple - Bengaluru

Posted on Oct 3

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Global Head of Data Science - Trust and Safety

At TikTok

Posted on Oct 3

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Senior Data Scientist, AI Solutions Engineering - Client Services

At Visa - Austin

Posted on Oct 3

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Wealth Management - Business Process and Solutions Associate - Controls

At JPMorgan Chase - Taguig City

Posted on Oct 2

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Senior Human Capital Data Analyst

At Leidos - McLean

Posted on Oct 2

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Portfolio Analytics & Strategy Analyst Senior - Decision Science

At PNC - Pittsburgh

Posted on Oct 2

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Sr. Data Scientist

At Deloitte - New York · San Jose

Posted on Oct 2

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Senior Data Engineer

At Visa

Posted on Sep 30

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Business Data Analyst

At Apple

Posted on Sep 29

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Treasury Management Business Analytics Consultant Sr

At PNC - Washington

Posted on Sep 27

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Senior Director, Data Engineer

At Capital One - McLean · Plano

Posted on Sep 27

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Principal AI Data Architect

At GE Vernova - Niskayuna

Posted on Sep 22

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Senior Associate, Data Scientist - Credit Card Innovation

At Capital One - McLean · New York

Posted on Sep 20

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Business Analytics Lead - Asset Management Group Investment Office

At PNC - Pittsburgh

Posted on Sep 18

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Data Scientist - Agentic AI / ML

At Applied Materials - Santa Clara

Posted on Sep 17

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Associate, Product Analytics Leadership Development Program

At The Hartford - Hartford

Posted on Sep 15

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Data Transfer Specialist TS/SCI Poly

At Leidos - Annapolis Junction

Posted on Sep 13

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Senior Data Analyst (Multiple Positions)

At TikTok - San Jose

Posted on Sep 11

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Summer Associate Internship (Data Scientist)

At Navy Federal Credit Union - Vienna

Posted on Sep 10

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Client Consulting Manager, Visa Consulting & Analytics (VCA) 12-Month Fixed Term

At Visa - Sydney

Posted on Sep 10

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Apple

Software Site Reliability Engineer - AI & Data Platforms

Bengaluru, IndiaPosted Oct 3, 2026

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Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. 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. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description
As a Data Platform SRE, you will be responsible for developing and operating our big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identifying and resolving production issues to ensure the best data platform experience","responsibilities":"Design, develop, and automate: Build tools, frameworks and solutions to improve reliability, scalability, and efficiency across large scale distributed data platform systems.
Monitor and maintain: Implement advanced monitoring and alerting for on-prem , cloud and workloads.
Troubleshoot and solve: Support critical applications including analytics, reporting, and AI/ML apps. Respond to and resolve complex production incidents, and perform root cause analysis.
Collaborate: Work closely with development and operations teams to integrate reliability best practices throughout the software lifecycle.
Optimize: Proactively recommend improvements in architecture, deployment, and operations for distributed systems

Preferred Qualifications
Expertise in designing, building, and operating critical, large-scale distributed systems with a focus on low latency, fault-tolerance, and high availability.
Experience with contribution to Open Source projects is a plus.
Experience with multiple public cloud infrastructure, managing multi-tenant Kubernetes clusters at scale and debugging Kubernetes/Spark issues.
Experience with workflow and data pipeline orchestration tools (e.g., Airflow, DBT).
Understanding of data modeling and data warehousing concepts.
Familiarity with the AI/ML stack, including GPUs, MLFlow, or Large Language Models (LLMs).
Data Structures & Algorithms: Strong foundation and application experience.
Distributed Systems: Solid understanding and hands-on experience managing at least one distributed system (e.g. Kafka, Spark, Flink etc. ).
Solid understanding of software engineering best practices, including the full development lifecycle, secure coding, and experience building reusable frameworks or libraries.
Problem Solving: Demonstrated ability to independently troubleshoot and resolve complex technical issues.
Creative Thinking: A track record of proposing and implementing innovative solutions to technical challenges.

Minimum Qualifications
Experience: 3+ years in software site reliability engineering or software development roles.
Programming: Proficient in at least one of Python, Golang, or Java.
Skilled at coding for distributed systems and developing resilient data pipelines.
Cloud Platforms: Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud Platform).

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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