The OpportunityAdobe Experience Platform (AEP) enables businesses to deliver the right experience at the right time to their customers. Segmentation Service is a core AEP service, providing the ability to define customer segments and generate target audiences from real-time customer profiles. Segment definitions are sophisticated queries over profile and event data that capture specific attributes or behaviors shared by a subset of users. Performing trillions of audience evaluations per day means scalability and efficiency aren't goals - they're the baseline.
This role is for an engineer with professional experience in distributed systems who wants to work on hard, consequential problems with a technically strong team. You will contribute to services used by every Adobe Customer Experience Orchestration solution, working directly on the performance, correctness, and scalability of systems that never stop running.
What You'll Do- Collaborate with engineers and product managers to build high-performance, low-latency distributed services handling real-time segment query evaluation at scale
- Implement features and improvements across the segmentation pipeline, progressing from well-defined work to owning components end to end
- Investigate system performance: recognize when behavior is degraded, and trace the causes - from latency regressions to throughput drops - back to their source
- Write well-tested Java code with attention to how implementation decisions affect runtime behavior: allocation patterns, synchronization, serialization cost, and their cumulative effect under load
- Deploy production services and iterate based on operational feedback and customer signals
- Participate in architecture and code reviews, contributing observations that reflect real engagement with technical tradeoffs
- Follow Agile methodologies using industry-standard CI/CD practices
- Heavily use AI to increase efficiency, iterate faster, with improved quality
What You'll Need to Succeed- Professional software engineering experience in low-latency distributed systems or data-intensive backend services
- Strong programming skills in Java or Scala, with growing awareness of JVM runtime behavior under load
- Practical experience with distributed systems: consistency tradeoffs, failure handling, and the mechanics of event-driven or high-throughput workloads
- Exposure to data lakes, data warehouses, stream processing frameworks, or equivalent is a plus
- Ability to think through solutions with both short-term and long-term considerations, and to deliver within defined time boundaries
- Strong communication skills and collaborating effectively across engineering and product roles
- Adaptable to evolving priorities and comfortable taking on problems outside your current experience
- B.S. in Computer Science or related field, or equivalent experience, required; M.S. or comparable practical experience preferred
Expected Pay Range: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 $114,100 -- $214,950 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.
In California, the pay range for this position is $148,500 - $214,950
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
