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Salary
$35k – $44k per year (Estimated)
Location
In office (Bucharest)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Adobe is an American software company founded in 1982 by John Warnock and Charles Geschke and headquartered in San Jose, California. It created the PostScript and PDF formats and built the industry-standard creative toolset around Photoshop, Illustrator, Premiere Pro, After Effects and InDesign, now delivered as the Creative Cloud subscription. The company also runs Document Cloud for electronic signatures and document workflows, Experience Cloud for enterprise marketing analytics and personalisation, and the commercially safe Firefly family of generative AI models.

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.

Adobe is proud to be an Equal Employment Opportunity 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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process 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 [email protected] or call +1 408-536-3015.

AI Use Guidelines for Interviews:

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.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

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