242 jobs for "Software Engineer, Analytics Infrastructure"

Senior Software Engineer

At Apple - London

Posted on Oct 19

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Principal Engineer, Apple Cloud Object Storage (ACOS), Storage Infrastructure

At Apple - Seattle

Posted on Oct 17

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Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple - Austin

Posted on Oct 10

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Principal Engineer Software (AIOps)

At Palo Alto Networks - Santa Clara

Posted on Mar 5

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Big Data Engineer, TikTok Ecommerce Recommendation Infrastructure

At TikTok

Posted on Sep 20

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Staff Software Engineer, Backend (Capacity Modeling)

At Affirm - Remote / Flexible

Posted on May 7

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Staff Software Engineer, Backend (Capacity Modeling)

At Affirm - Remote / Flexible

Posted on May 7

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Contractor: Lead Analytics Engineer

At Newsela

Posted on Jul 27

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Staff Software Engineer

At Navan - Bengaluru

Posted on Sep 10

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Big Data Engineer - TikTok Ecommerce Recommendation Infrastructure

At TikTok

Posted on Sep 20

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Software Engineer

At NIKE, Inc. - Beaverton

Posted on Apr 21

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Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple - Austin

Posted on Oct 10

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Lead Software Engineer - Pyspark, AWS, Python

At JPMorgan Chase - Pune

Posted on Nov 6

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Technology Lead

At Infosys - Sao Paulo

Posted on Oct 31

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Sr Staff Analytics Engineer

At GE Vernova - Greenville

Posted on Oct 28

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Sr Software Engineer - Streaming Data Platform

At Uber - Sunnyvale · San Francisco

Posted on Nov 6

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Software Development Engineer Staff

At Equinix, Inc - Remote / Flexible

Posted on Nov 5

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Senior Platform Engineer

At Cargill - Bengaluru

Posted on Oct 16

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Senior/Lead Engineer, Performance Engineering

At Salesforce - San Francisco · Bellevue

Posted on Nov 6

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Senior PKI Security Engineer

At Charles Schwab - Southlake

Posted on Nov 6

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Apple

Senior Software Engineer

London, United KingdomPosted 19 days ago

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Do you enjoy crafting elegant solutions to distributed problems with billions of data points per day? Can you manage business complexity and still deliver reliable, scalable systems? If so, join us! You will work with engineers across Apple to build data pipelines and real-time streaming applications that power Apple Music, Shazam, Apple Podcasts and Fitness+ services.

Description
We build big-data and real-time data platform components and pipelines. We are domain experts who work alongside product, business and client engineering teams. AI is already a core part of how we work. We have access to leading frontier tools and use agentic engineering to accelerate our development, operations and support work. Our data supports a modern AI stack powering features and recommendations.","responsibilities":"Build at scale: Design, build and evolve distributed compute frameworks, data pipelines and real-time streaming applications that process billions of data points per day.
Turn questions into specs: Work with partners to understand what they need and why. Write clear technical specs that define datasets, metrics and requirements, and review specs written by others.
Deliver with partners: Work on cross-functional projects with engineering teams, product leads, data scientists and analytics leaders to build datasets, metrics and insights.
Drive technical direction: Lead initiatives from problem discovery through to production. Weigh cost, complexity and performance, and choose the right tool for each problem.
Run it well: Share ownership of high-throughput, low-latency production systems. That includes on-call, and hardening systems against failure before it happens.
Raise the bar: Do thorough code and design reviews, mentor other engineers, and champion testing and engineering best practices.

Preferred Qualifications
Practical experience maintaining large-scale data pipelines with Spark and Flink.
Experience with cloud, container and infrastructure tools such as Kubernetes and Docker.
Effective use of AI tools such as Claude in day-to-day engineering.
Contributions to open-source data-processing projects.
Excellent written and verbal communication across distributed teams.
Bachelor's or Master's degree in Computer Science, Software Engineering or equivalent experience.

Minimum Qualifications
Substantial experience designing, building and operating business-critical, large-scale distributed systems.
Fluency in at least one statically typed language, ideally Java or Scala, and a strong grasp of big-data fundamentals: concurrency, memory management, networking and performance optimisation.
In-depth understanding of at least one distributed or big-data system, such as Kafka, Flink, Spark, Trino, Iceberg or Cassandra.
Experience gathering requirements and turning ambiguous business needs into clear, accurate technical specifications.
A focus on quality and craftsmanship: You reason well about complex failure modes and deliver well-tested, maintainable code.

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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