Software Engineer - Adobe Experience Platform
Adobe Systems
San Jose, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 258KJob location
San Jose, United States of America
Tech stack
Java
Adobe Experience Manager
API
Artificial Intelligence
Amazon Web Services (AWS)
Apache HTTP Server
Azure
Cloud Computing
Cloud Engineering
Continuous Integration
Customer Data Management
Data Infrastructure
Distributed Data Store
Distributed Systems
Fault Tolerance
Github
Machine Learning
NoSQL
Performance Tuning
Prometheus
SQL Databases
Data Streaming
Aerospike
Snowflake
Concurrency
Spark
Spring-boot
Backend
Event Driven Architecture
Adobe
Data Lake
Kubernetes
Storage Technologies
Low Latency
Apache Flink
Real Time Data
Kafka
Cosmos DB
Data Pipelines
Docker
Jenkins
Microservices
Job description
- Architect Distributed Data Systems: Design and deliver globally distributed solutions for real-time identity resolution, consent management, and accurate customer profiles at massive scale.
- AI & ML Personalization: Integrate cutting-edge Generative AI/ML into RTCDP for next-gen segmentation, recommendations, and live decisioning.
- Low-Latency Data Pipelines: Engineer resilient, high-throughput data flows with Kafka, Spark, Java/Scala to guarantee SLAs across diverse user journeys.
- Microservices at Scale: Build and maintain mission-critical, cloud-native microservices supporting trillions of queries and activations.
- Leadership & Ownership: Lead project delivery from design through production, ensuring rigorous quality, performance, and measurable business results.
- Mentorship: Coach and mentor junior engineers and code reviewers, fostering engineering excellence across the team.
- Cross-Functional Collaboration: Partner with product managers, designers, and data scientists to deliver privacy-first, customer-centric solutions that align with regulatory standards.
About Your Technical Playground
At Adobe RTCDP, you'll work with a modern stack built for scale, speed, and intelligence:
- Languages: Java, Scala
- Frameworks: Spring Boot, Apache Spark, Apache Flink
- Data Infrastructure: Kafka, Cosmos DB, Aerospike, FoundationDB, NoSQL systems, Delta Lake, Apache Iceberg, Snowflake
- Cloud & Infra: Azure, AWS, Kubernetes, Docker
- AI & Intelligence: OpenAI, Vector DBs, RAG architectures
- DevOps: Jenkins, GitHub Actions, CI/CD pipelines, Prometheus
Requirements
- 5+ years' experience developing large-scale distributed systems or platforms in production environments.
- Deep expertise in backend development (Java or Scala), with advanced skills in concurrency, performance tuning, and microservices.
- Proven track record engineering real-time data solutions using event-driven architectures (Kafka, Spark/Flink).
- Experience designing, implementing, and operating fault-tolerant, low-latency APIs in cloud-native settings.
- Solid understanding of storage technologies (SQL, NoSQL, key-value stores).
- Strong analytical and problem-solving capabilities-a proven ability to deliver results within critically important systems.
Preferred Skills
- Experience with customer data platforms, martech, adtech, or relevant verticals.
- Background in identity resolution, segmentation, consent management, or privacy-first data architectures.
- Hands-on with machine learning or personalization systems.
- Working knowledge of regulatory compliance frameworks (GDPR, CCPA).
- Demonstrated mentorship, leadership, and ability to shape architectural direction.
Benefits & conditions
Competitive compensation
- Equity awards and annual incentive plans
- Comprehensive health, dental, vision, and mental wellness coverage
- Learning budgets and career development support
- Generous parental leave and family support programs
- Flexible hybrid work model and wellness days, 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 $139,000 -- $257,550 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 $177,900 - $257,550
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.
About the company
At Adobe, innovation means reimagining how the world experiences digital at scale. Our Real-Time Customer Data Platform (RTCDP) processes trillions of events, resolving identities and driving hyper-personalized interactions within milliseconds., At Adobe, our engineering culture is built on a foundation of innovation, collaboration, and trust. We foster an environment where engineers are empowered to take ownership, explore new ideas, and make meaningful impact.
What makes our culture special:
Innovation with Purpose We thrive on solving complex problems with creativity and cutting-edge technology. Engineers are encouraged to experiment, iterate, and contribute to products that shape the future of digital experiences.
Collaboration & Inclusion Teamwork is at the heart of everything we do. We believe in cross-functional alignment, open communication, and a culture where diverse perspectives are valued and respected.
Empowered Leadership Our leaders listen first, plan thoughtfully, and support growth. We value transparency, radical candor, and a shared commitment to outcomes over optics.
Recognition & Growth We celebrate impact, not just visibility. Engineers are recognized for their contributions and supported with opportunities for continuous learning and career development.
Trust & Autonomy Adobe engineers enjoy the freedom to innovate, the trust to lead, and the safety to fail forward. We believe in empowering individuals to bring their authentic selves to work.
If you are passionate about architecting high-impact platforms, advancing your career in a world-class engineering culture, and shaping the future of AI-powered experiences, Adobe is where your ideas will thrive., This is more than a job, it is your chance to shape the future of AI-powered experiences on a global scale, while growing your career inside one of the most innovative engineering cultures in the world.
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., 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.