Sobre este puesto de Software Development Engineer en Adobe
Adobe Analytics powers data-driven decision making for many global enterprises. The platform enables organizations to collect, process, and analyze customer interaction data across digital channels.
The Customer Journey Analytics (CJA) Stitching team builds the systems that unify and process data from multiple sources to create consistent, real-time customer journeys.
The platform coordinates data ingestion, identity stitching, and analytics processing across multiple data sources. The system processes customer interaction data and transforms it into unified analytics datasets used across Adobe Experience Cloud.
As a Senior Backend Engineer, you will design and evolve the distributed systems and data pipelines that power these capabilities.
What You’ll Work On
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
Technology Stack
Examples of technologies used across the platform include:
Java / JVM ecosystem
Scala and Apache Spark
Databricks
Kafka and distributed data pipelines
Cloud infrastructure (AWS, Azure, GCP)
Observability tools such as Datadog, Prometheus, and Grafana
What We’re Looking For
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
Why Engineers Join This Team
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
Engineering Environment
Engineers on this team work on production systems running in modern cloud environments, using:
Frameworks for processing data across distributed systems
Event-driven architectures
Cloud-native infrastructure
Large-scale analytics pipelines
If you enjoy building reliable backend systems and data platforms used across multiple products and services, let’s talk!
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
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