Adobe MarTech Developer

Title: Adobe MarTech Location: Duluth, GA (hybrid) Competencies: 8-10+ years’ experienceDigital : Adobe AnalyticsEssential Skills:Software Developer - Adobe MarTech - 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:Primary Skills1. AEP Data Ingestion XDM ModelingIngest 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 InsightsCreate behavioral and lifecycle segments (cart abandonment, lapsed, high value, affinity) and validate customer behavior flows and match rates.3. Activation Patterns Real Time TriggersImplement activation patterns to AJO, Responsys, Google, Meta, and support real time triggers like browse → email, cart → journey, purchase → loyalty update.4. Microservices Platform IntegrationsDevelop Java 21/Spring Boot microservices on GCP (GKE, Docker) and integrate with AEP, AJO, Responsys, and CDP platforms.5. Data Pipelines, Databases DevOpsBuild BigQuery/Airflow pipelines, optimize MongoDB/PostgreSQL for Application Development Design and develop cloud-native microservices and APIs using Java 21, Spring Boot 3.x, and ReactJS, deployed on GCP (GKEDocker)Data Engineering Build and maintain data pipelines and aggregations using BigQuery, Apache Airflow (Cloud Composer), Dataform, and PubSub messagingDatabase Management Develop and optimize schemas in MongoDB (real-time serving) and PostgreSQL (Cloud SQL), ensuring low-latency query patterns within SLA (300500ms response times)Integration Build integrations with marketing platforms including Adobe Experience Platform (AEP), Oracle Responsys, Oracle Unity CDP, SAS, and Adobe Journey Optimizer (AJO)AI Innovation Contribute to AI-enabled marketing use cases leveraging LangChain, Gemini Pro, and agentic architectures with FastAPI Redis StreamsQuality Maintain 90 unit test coverage, participate in code reviews, and adhere to secure coding standards and Checkmarx complianceCICD DevOps Manage deployments through GitLab, Jenkins, ArgoCDSpinnaker pipelines support production readiness and release planningMonitoring Reliability Instrument and monitor applications using Prometheus, Grafana, DynaTrace, and Google Cloud Logging participate in rotational 24x7 on-call supportCollaboration Work closely with Product Managers, Solution Architects, QE, Journey Ops, and SRE teams in an AgileSAFe environment following the MWOW development approachRequired Qualifications:Bachelors degree in Computer Science, Engineering, or equivalent experience3 years of experience in backend development with Java and Spring BootExperience with GCP services (GKE, BigQuery, Cloud Composer, PubSub, Cloud SQL)Proficiency with MongoDB andor PostgreSQLExperience building and consuming RESTful APIs (SpringDoc OpenAPISwagger)Role Description:Preferred QualificationsExperience with data pipeline orchestration (Airflow DAGs, Dataform, DataFlow)Familiarity with marketing technology platforms (AEP, Responsys, SAS, CDP)Experience with ReactJS or modern frontend frameworksExposure to AIML frameworks (LangChain, LLM integrations)Experience with Kubernetes and containerized deploymentsKnowledge of retail-commerce domain and customer data platformsGeneric Managerial Skills, If any:Good organizational and problem-solving skillsGood team player who is self motivated and well organizedStrong oral and written communication skillsAbility to work with remote teamsAbility to manage project scope