Build new microservice solutions within the Adobe Analytics platform to power Adobe's Experience Cloud, delivering solutions at scale in a big data cloud platform.
Requirements
- Solid object-oriented programming background, preferably in Java.
- Database programming knowledge, including SQL and MongoDB.
- Experience building and scaling RESTful web services.
- Experience with building and deploying backend service platforms.
- Experience with Cloud technologies and services such as AWS and Azure is a plus.
- Curiosity and self-motivation to learn, adapt, and grow with evolving software development practices and AI capabilities.
- Demonstrated ability to contribute to projects of varying complexity, including integration with other products and systems to identify areas of new feature development.
Responsibilities
- Craft and develop microservice solutions at scale in a big data cloud platform.
- Solve complex business and technical problems involving large-scale data aggregation, workflow, and reporting.
- Research and exercise proficiency with new technologies.
- Gain a solid understanding of the Adobe Analytics platform workflows and drive solutions that span across one or more cross-functional Engineering teams.
- Develop product improvements and features with a strong focus on effective customer engagement and happiness.
- Collaborate with cross-functional teams to determine requirements and develop solutions that meet the needs of customers.
- Ensure the flawless implementation of software by performing code reviews and participating in testing activities.
Other
- B.S. in Computer Science or equivalent field, and at least 1 year of experience developing software.
- Must be diligent, self-motivated, responsive, professional, and dedicated to customer success.
- Excellent interpersonal skills.
- Proficient at solving complex problems and collaborating successfully with others.
- Collaborate with AI and platform teams to ensure backend services are optimized for consumption by AI agents, operators, and MCP workflows.
