Software Development Engineer 2

Adobe•San Jose, CA

9h•Onsite

About The Position

Our mission is to provide highly personalized digital experiences to customers across various channels like email, ads, push notifications etc. We strive to delight consumers with every digital interaction. To achieve this, we ingest data at scale, run sophisticated processing on data in real-time, and deliver captivating insights on data at real-time. The Unified Profile team at Adobe is the best place for you! We build large-scale systems that identify users across all their devices. We build profiles that capture user interactions across various channels. Our pioneering segmentation engine can create highly targeted audience groups. As a developer on this team, you'll make sophisticated digital experience use-cases a reality.

Requirements

BS in computer science, MS in computer science preferred.
Passion for developing high-quality software applications
Analytical thinking and problem-solving skills
Good understanding of data structure and algorithms
Strong communication to articulate ideas and strategies
Proven record of delivering highly optimized code in Java/Scala.
Proficiency in data structures, algorithms, caching strategies, async patterns.
Ability to adapt and learn cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.
Able to understand distributed processing systems like Apache Spark, Hadoop Stack, or Kafka;
Understanding of key computer science concepts for SQL or NoSQL databases like MYSQL, HBase, Cassandra, Mongo, or Azure Cosmos DB;
Able to work in an Agile based software development methodologies

Nice To Haves

You will learn to master technologies like Java, Scala, Spark, Akka and will operate in popular public cloud infrastructures like Amazon AWS or Microsoft Azure.

Responsibilities

Contribute to engineering guidelines by providing guidance towards code review, test coverage, and promoting high standard methodologies in software development.
Steer technical design and architecture discussions, making critical decisions that drive technical product design.
Lead engineering efforts and projects to deliver critical components, new features and enhance performance of existing features.
Optimize performance and scalability of backend systems to ensure high availability and fast response times.