Software Engineering Lead

6 days ago

Austin, Texas, United States Apple Full time
About the Role

At Apple, we are seeking an experienced Software Engineer to join our team. As a Senior Software Engineer, you will be responsible for designing and implementing scalable data systems in a cloud environment.

The ideal candidate will have 10 or more years of industry experience building micro services or data driven platforms. A strong computer science background is required, with expertise in relational datastores such as Postgres or Oracle. Experience with NoSQL datastores like Druid, Cassandra or DynamoDB is also beneficial. Additionally, proficiency in data processing technologies like Kafka, Spark, Flink is necessary. The role requires ability to work on revenue impacting distributed problems and systems, with strong problem solving and debugging skills.

Key Responsibilities
  • Design and implement performant services and data pipelines.
  • Implement low latency, highly available, high volume advertiser facing systems in a cloud environment.
  • Engineer secure and scalable distributed data processing systems for reporting data store and services.
  • Collaborate with product management to define external APIs for reporting.

What We Offer

We offer a competitive salary range of $250,000 - $400,000 per year, depending on experience. In addition to a comprehensive benefits package, including medical, dental, and vision coverage, retirement plan matching, and generous paid time off, we provide opportunities for professional growth and development. Join us and contribute your skills and expertise to shape the future of advertising technology at Apple.

Requirements

To be considered for this role, you must have:
  • A Bachelor's degree in Computer Science/Engineering discipline or equivalent.
  • 10 or more years of industry experience building scalable micro services or data driven platforms.
  • Strong computer science fundamentals.
  • Prior experience with Java/Scala/C++ or equivalent.
  • Expertise in relational datastores (e.g Postgres or Oracle).
  • Expertise in NoSQL datastores (e.g Druid, Cassandra or DynamoDB).
  • Proficiency in data processing technologies (e.g Kafka, Spark, Flink).
  • Familiarity with cloud paradigms (e.g AWS or GCP).
  • Proven ability to work on revenue impacting distributed problems and systems.
  • Strong problem solving and debugging skills.
  • Able to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.

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