Senior Builder RTCDP Frontier Pod

The Opportunity Adobe Real-Time CDP enables enterprises to unify customer data acrossevery source, resolve identity at scale, and activate audiences in real timeacross any channel. The platform processes billions of events, enforces datagovernance across complex enterprise hierarchies, and powers thepersonalization layer for some of the world's largest brands. You will join one of our Frontier AI Pods — a small, cross-functional teamwith full ownership that delivers end-to-end capabilities and features askedby regional EMEA customers. This is not a maintenance role. The capabilities are delivered fast tocustomers and your Pod iterates in making sure adoption is guaranteed. What You'll Build Distributed services and event-driven pipelines that process real-timecustomer data at enterprise scale Secure data collaboration capabilities — the infrastructure that allowsorganizations to connect, share, and activate data across partnerecosystems without compromising governance Workflow orchestration services coordinating cross-system flows acrossAEP, RTCDP, and external data platforms Reliable, observable APIs consumed by multiple Adobe products andenterprise integrations Production systems with defined SLOs — you own services from designthrough live operation What Success Looks Like We hire for demonstrated delivery, not credential accumulation. Strong candidates will show: Correctness as a design instinct — you build distributed systemswhere data integrity, idempotency, and audit trails are first-classconcerns, not retrofits Production ownership — a track record of shipping services thatoperate at scale, degrade gracefully, and recover without humanintervention Customer-to-capability translation — you move fluently between whata customer needs and what the system must do, collapsing the gapbetween requirement and working platform feature AI-augmented execution — you use AI-assisted development tools(Claude Code, Cursor, GitHub Copilot, or equivalent) as a standard partof how you design, build, and review code System-level thinking — you understand not only how distributedsystems work, but why the tradeoffs you made were the right ones forthe context Typical background: 8 years building Java-based systems in production. What matters is what that experience has produced, not the number of years. What We Value Beyond technical execution, the engineers who grow fastest on this team demonstrate: A ge n c y You ide nt if y pro b l e ms bef or e t he y a r e a ss ig n ed to you a n d d r i v e t he m to r e solut i on P ro d u c t J u dg m e nt You un de rst a n d w ha t t he pl a t f orm n eed s to d o f or c ustom e rs , not j ust w ha t t he t icke t s a ys to b u i l d A da pt abi l i ty You n a v iga t e a m big u i ty , adj ust c ours e w he n e v ide n ce s hif ts , a n d d on ' t m i st ake s e n i or i ty f or ce rt ai nty B u i l de r M i n d s e t You a r e a s c om f ort ab l e prototyp i n g a n e w ca p abi l i ty a s you a r e ha r de n i n g a n e x i st i n g on e. Your Stack Java / JVM - Primary language for platform services Kafka - Event-driven architectures and real-timepipelines Kubernetes - Containerized service deployment andoperation Snowflake - Modern cloud data platform integration AWS / Azure - Cloud infrastructure and managed services Temporal - Workflow orchestration Prometheus · Grafana · Splunk - Observability and production monitoring Nice to Have Experience with data governance, privacy-preserving computation, orsecure data collaboration patterns Background in distributed data platforms (Delta Lake, Iceberg, or similar) Familiarity with identity resolution or customer data unification systems Contributions to architecture decisions or mentoring of engineers inprevious roles Why This Team Work on infrastructure that directly enables real-time data activationfor enterprise customers at global scale Operate inside a Frontier AI Pod — a small, autonomous team with end ... (truncated, view full listing at source)