Sr. Software Development Engineer

Adobe Media and Data Science Research (MDSR) Laboratory

San Jose, California, US
Base: $159,200 -- $301,600 annually (us); base: $2...
Onsite
High-performance data ingestion pipelines
Petabyte scale data storage
Distributed processing systems
The Profile Stores layer is a key Adobe Experience Platform service built as a multi-cloud multi-tenant service to support thousands of customers, providing the ability to manage a high volume data pipeline and storage layer for real-time customer profiles

Job Summary

  • The Profile Stores layer is a key Adobe Experience Platform service built as a multi-cloud multi-tenant service to support thousands of customers, providing the ability to manage a high volume data pipeline and storage layer for real-time customer profiles.
  • This is a great opportunity for engineers to solve extremely interesting challenges of scale and build core services that are used by all Adobe Customer Experience Orchestration solutions.
  • As part of building these services, you will work with an exceptionally talented and collaborative team, tackle complex data challenges and build highly performant services on various open-source technologies.

Matching Summary

The Profile Stores layer is a key Adobe Experience Platform service built as a multi-cloud multi-tenant service to support thousands of customers, providing the ability to manage a high volume data pipeline and storage layer for real-time customer profiles.

Salary

Base: $159,200 -- $301,600 annually (US); Base: $208,300 - $301,600 (California); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • High-performance data ingestion pipelines
  • Petabyte scale data storage
  • Distributed processing systems
  • Data Lake cloud storages
  • Resilient data pipelines at scale
  • Java or Scala programming

Nice-to-have

  • Collaborative team environment
  • Adaptable to evolving priorities
  • Iterative development cycle
  • Explore tradeoffs across formats

Key Requirements

  • Master's degree or related field and 5+ years experience
  • B.S. or M.S. in Computer Science or related field
  • Experience with Apache Spark, Hadoop Stack, or Apache Kafka
  • Experience with Azure Data Lake Storage or AWS S3
  • Strong programming skills

Work Rights

Not specified

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