Software Development Engineer

Requirements

• 5+ years of backend or data platform engineering experience
• Strong expertise in Java or Scala
• Experience building distributed systems or data processing pipelines
• Experience with Spark or large-scale data processing frameworks
• Experience working with cloud infrastructure
• Strong understanding of system reliability, performance, and observability

Nice to Have

• Experience with Kafka or event-driven architectures
• Experience with modern data platforms (Iceberg, Hadoop ecosystem, etc.)
• Experience working with Databricks
• Experience contributing to architecture decisions and mentoring engineers

What You'll Be Doing

• Design and build data processing pipelines using Java / Scala and Spark
• Develop systems responsible for customer identity stitching and data aggregation
• Design and optimize distributed data processing workflows
• Contribute to architecture and system design decisions
• Improve pipeline reliability, observability, and performance
• Work with multi-cloud infrastructure (AWS, Azure, GCP) and infrastructure-as-code tools
• Own services through the full lifecycle — from design and implementation to production operations
• Collaborate with engineers, architects, and product teams across Adobe Analytics

Perks and Benefits

• Work on core analytics infrastructure used by enterprise customers
• Solve data processing and distributed systems challenges
• Build systems powering real-time journey analytics
• Collaborate with experienced engineers across Adobe’s global engineering teams