Adobe Systems Incorporated-posted 3 months ago
$133,900 - $242,000/Yr
Full-time • Mid Level
Hybrid • San Jose, CA
5,001-10,000 employees
Publishing Industries

At Adobe, we are reimagining how the world experiences digital at scale. We operate across several petabytes of data, powering trillions of queries and experience activations every day. Now, we are taking this scale to the next level with the power of Generative AI. As part of the Adobe Experience Platform (AEP) team, you will work on one of the most ambitious transformations in customer intelligence-where massive-scale data engineering meets modern AI. This is not only a chance to build systems that impact billions worldwide, but also one of the most exciting opportunities to launch and accelerate your career.

  • Develop AI and generative intelligence on a broad scale by integrating AI services into Adobe Experience Platform to assess how large-scale models and generative intelligence affect real-time personalization and customer decision-making.
  • Architect systems at massive scale - design distributed microservices that power identity resolution, segmentation, and real-time decisioning across billions of daily events.
  • Engineer high-throughput data pipelines using Spark, Kafka, and Java to process petabytes of data with speed and reliability.
  • Own projects end-to-end - from whiteboard to production - with the freedom to innovate and the accountability to deliver.
  • Solve scaling challenges few companies face - optimizing for trillions of queries and experience activations each day.
  • Collaborate across disciplines with product, design, and other engineering teams to craft customer-first, AI-driven solutions.
  • Experience with AI technologies such as OpenAI, Anthropic, Google Gemini APIs and SDKs.
  • Proficiency in programming languages including Java, Scala, Python, and JavaScript.
  • Familiarity with frameworks like Spring Boot and Apache Spark.
  • Experience with cloud infrastructure such as Azure and AWS.
  • Knowledge of containerization and orchestration tools like Kubernetes and Docker.
  • Experience with data systems including Cosmos DB, Aerospike, FoundationDB, PG, and NoSQL.
  • Competitive compensation
  • Equity awards and annual incentive plans
  • Comprehensive health, dental, vision, and mental wellness coverage
  • Learning budgets and career development support
  • Generous parental leave and family support programs
  • Flexible hybrid work model and wellness days
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