Adobe Inc.
Senior Software Engineer
Adobe Inc., San Jose, California, United States, 95199
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!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 1000s 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 timeseries analytics event like data that is ingested at very high volumes. With the need to support 1000s of customers ingesting and storing PBs 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.
What you'll DoCollaborate 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 dataDevelop 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 tradeoffs across different formats and schema layouts driven by workload and application characteristicsDeploy production services and iteratively improve them based on customer feedbackFollow Agile methodologies using industry leading CI/CD pipelinesParticipate in architecture, design & code reviewsWhat you need to succeedM.S. in Computer Science or a related field or equivalent experiences requiredExperience 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 (Amazon Web Services) S3Understanding of file formats like Apache Parquet and table formats such as Databricks Delta, Apache Iceberg or Apache Hudi is preferred.Understanding of NoSQL databases like Apache HBase, Cassandra, Mongo, or Azure Cosmos DB is a plus;Practical experience in building resilient data pipelines at scale is preferredStrong programming skills with extensive experience in Java or ScalaLeadership skills to collaborate and drive cross-team effortsExcellent communication skillsAdaptable 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 $173,300 -- $312,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and 'fair chance' ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email
accommodations@adobe.com
or call (408) 536-3015.
#J-18808-Ljbffr
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!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 1000s 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 timeseries analytics event like data that is ingested at very high volumes. With the need to support 1000s of customers ingesting and storing PBs 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.
What you'll DoCollaborate 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 dataDevelop 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 tradeoffs across different formats and schema layouts driven by workload and application characteristicsDeploy production services and iteratively improve them based on customer feedbackFollow Agile methodologies using industry leading CI/CD pipelinesParticipate in architecture, design & code reviewsWhat you need to succeedM.S. in Computer Science or a related field or equivalent experiences requiredExperience 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 (Amazon Web Services) S3Understanding of file formats like Apache Parquet and table formats such as Databricks Delta, Apache Iceberg or Apache Hudi is preferred.Understanding of NoSQL databases like Apache HBase, Cassandra, Mongo, or Azure Cosmos DB is a plus;Practical experience in building resilient data pipelines at scale is preferredStrong programming skills with extensive experience in Java or ScalaLeadership skills to collaborate and drive cross-team effortsExcellent communication skillsAdaptable 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 $173,300 -- $312,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and 'fair chance' ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email
accommodations@adobe.com
or call (408) 536-3015.
#J-18808-Ljbffr