Sr. Software Development Engineer

The Opportunity

Adobe Experience Platform (AEP) enables businesses to deliver the right experience at the right time to their customers. The Profile Stores layer is one of the key AEP services 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.

Customer profiles are built on complex data models spanning both record structures supporting upserts at scale as well as time‑series analytics event‑like data that is ingested at very high volumes. With the need to support thousands of customers ingesting and storing petabytes of data, resiliency, data correctness, scalability, and efficiency are paramount. This is a great opportunity for engineers to solve extremely interesting challenges of scale and build core services that are used by all Adobe Digital Experience 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.

This is an onsite position in the San Jose office.

• Collaborate with a team of engineers & product managers in building high‑performance data ingestion pipelines and data store to serve the use cases of Segmentation and Activation.
• Own responsibility for design and implementation of key components of ingesting and maintaining petabyte of Profile data.
• Develop systems to support high‑volume data ingestion pipelines handling both streaming and batch processing.
• Leverage popular file and table formats to design storage models to support the required ingestion volumes and data access patterns.
• Explore trade‑offs across different formats and schema layouts driven by workload and application characteristics.
• Deploy production services and iteratively improve them based on customer feedback.
• Follow Agile methodologies using industry leading CI/CD pipelines.
• Participate in architecture, design & code reviews.

Employer will accept a Master’s degree in Information Systems Management, Computer Science, Computer Engineering, Information Technology, Software Engineering or related field and 5+ years of experience in the job offered or in a Software Development Engineer‑related occupation.

• B.S. or M.S. in Computer Science or a related field or equivalent experiences required.
• Experience with distributed processing systems like Apache Spark, Hadoop Stack, or Apache Kafka.
• Experience with Data Lake cloud storages like Azure Data Lake Storage or AWS S3.
• Understanding of file formats like Apache Parquet and table formats such as Databricks Delta, Apache Iceberg or Apache Hudi is preferred.
• Understanding of No
  
  SQL databases like Apache HBase, Cassandra, Mongo, or Azure Cosmos DB is a plus.
• Practical experience in building resilient data pipelines at scale is preferred.
• Strong programming skills with extensive experience in Java or Scala.
• Leadership skills to collaborate and drive cross‑team efforts.
• Excellent communication skills.
• Adaptable to evolving priorities, accepting challenges outside one’s comfort zone, learning new technologies, and delivering viable solutions within defined time boundaries.
• Ability to think through solutions from a short term and long‑term lens in an iterative development cycle.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 – $301,600 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. In California, the pay range for this position is $208,300 – $301,600.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.