Adobe Product Family, Application Programming Interface (API), Artificial Intelligence (AI), CRM Integration, Call Monitoring, Continuous Deployment/Delivery, Continuous Integration, Customer/Client Research, Customer/Consumer Behavior, Data Management, Docker, Ecosystems, GCP (Good Clinical Practices), Java, Marketing, Marketing Software, Microservices, MongoDB, On Call, PostgreSQL, Scalable System Development, Software Development
Software Developer - Adobe MarTech
Location: Duluth, GA - Hybrid, 2 days onsite weekly
Duration: 6 months
Competencies: 8-10+ years experience
Digital : Adobe Analytics
Essential Skills:
- Overview:
The MarTech Software Developer is responsible for designing, developing, and maintaining marketing technology solutions that power customer engagement, personalization, and data-driven marketing across Macys digital ecosystem.
This role works within the MarTech engineering team to build scalable APIs, data pipelines, and integrations that support CRM, loyalty, journey orchestration, and AI-driven marketing initiatives.
Key Responsibilities:
ADDED 6-9-2026:
Primary Skills
1. AEP Data Ingestion & XDM Modeling
Ingest customer, behavioral, and transactional data into AEP (batch/streaming) and build XDM schemas with identity stitching for Real Time Customer Profile. Should be able to demonstrate was implemented , what challenges they faces and business value added.
2. Segmentation & Customer Behavior Insights
Create behavioral and lifecycle segments (cart abandonment, lapsed, high value, affinity) and validate customer behavior flows and match rates.
3. Activation Patterns & Real Time Triggers
Implement activation patterns to AJO, Responsys, Google, Meta, and support real time triggers like browse email, cart journey, purchase loyalty update.
4. Microservices & Platform Integrations
Develop Java 21/Spring Boot microservices on GCP (GKE, Docker) and integrate with AEP, AJO, Responsys, and CDP platforms.
5. Data Pipelines, Databases & DevOps
Build BigQuery/Airflow pipelines, optimize MongoDB/PostgreSQL for < 500ms latency, and support CI/CD, monitoring, and on call reliability operations.