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MarTech Software Developer (Adobe MarTech / Adobe Analytics)

Job summary

Duluth

Work model

Hybrid · 3 days home
1 month ago
Job description

MarTech Software Developer (Adobe MarTech / Adobe Analytics)

Location: Duluth, GA (Hybrid -- 2 Days Onsite Weekly)

Duration: 12+ Months

Experience Required: 8--10+ Years

Job Summary

We are seeking an experienced MarTech Software Developer with expertise in Adobe MarTech ecosystems, Adobe Analytics, cloud-native development, API engineering, and data platforms. This role will support enterprise marketing technology initiatives powering customer engagement, personalization, loyalty, CRM, and AI-driven digital marketing capabilities.

The ideal candidate will bring strong backend engineering, cloud platform, data pipeline, and marketing platform integration experience.

Key Responsibilities

Application Development

  • Design, develop, and maintain cloud-native microservices and APIs using:
    • Java 21
    • Spring Boot 3.x
    • ReactJS
  • Deploy and support applications on:
    • Google Cloud Platform (Google Cloud Platform)
    • GKE / Docker / Kubernetes
  • Build scalable services supporting:
    • Customer engagement
    • CRM platforms
    • Loyalty solutions
    • Journey orchestration
    • Marketing automation initiatives

Data Engineering & Platform Development

  • Design and maintain data pipelines using:
    • BigQuery
    • Apache Airflow / Cloud Composer
    • Dataform
    • Pub/Sub messaging
  • Build aggregations, transformations, and scalable marketing data workflows
  • Optimize low-latency database architectures with SLA-driven performance targets

Database Engineering

  • Design and optimize data models in:
    • MongoDB
    • PostgreSQL / Cloud SQL
  • Ensure high-performance query design and scalable serving architectures

MarTech Platform Integration

  • Build integrations with enterprise marketing platforms including:
    • Adobe Experience Platform (AEP)
    • Adobe Journey Optimizer (AJO)
    • Oracle Responsys
    • Oracle Unity CDP
    • SAS
  • Support customer data platform and campaign orchestration initiatives

AI Innovation

  • Contribute to AI-enabled MarTech solutions using:
    • LangChain
    • Gemini Pro
    • Agentic architectures
    • FastAPI
    • Redis Streams

Quality Engineering & DevOps

  • Maintain engineering quality standards including:
    • 90%+ unit test coverage
    • Secure coding practices
    • Checkmarx compliance
  • Manage CI/CD pipelines using:
    • GitLab
    • Jenkins
    • ArgoCD
    • Spinnaker
  • Support:
    • Release planning
    • Production readiness
    • Deployment automation

Monitoring & Reliability

  • Monitor and support applications using:
    • Prometheus
    • Grafana
    • Dynatrace
    • Google Cloud Logging
  • Participate in rotational 24x7 on-call support

Collaboration

  • Work closely with:
    • Product Managers
    • Solution Architects
    • QA / QE teams
    • Journey Operations teams
    • SRE teams
  • Operate within Agile / SAFe delivery environments

Required Skills & Qualifications

  • 8--10+ years of software engineering experience
  • Strong expertise in:
    • Adobe Analytics
    • Adobe MarTech ecosystems
    • Java
    • Spring Boot
    • REST APIs
  • Experience with:
    • Google Cloud Platform (GKE, BigQuery, Pub/Sub, Cloud SQL, Composer)
    • MongoDB
    • PostgreSQL
    • Kubernetes / Docker
  • Experience integrating with:
    • Adobe Experience Platform
    • Adobe Journey Optimizer
    • Marketing automation ecosystems
  • Strong API development and microservices architecture experience

Preferred Skills

  • Adobe Experience Platform (AEP)
  • Oracle Responsys
  • Oracle Unity CDP
  • SAS Marketing platforms
  • ReactJS
  • Airflow / Dataform / Dataflow
  • LangChain / LLM integrations
  • Retail / eCommerce domain experience

Soft Skills

  • Strong communication and collaboration skills
  • Self-motivated and organized
  • Strong problem-solving mindset
  • Ability to work with distributed teams

Key Skills

  • Adobe Analytics
  • Adobe MarTech
  • Java 21
  • Spring Boot
  • Google Cloud Platform
  • BigQuery
  • Airflow
  • MongoDB
  • PostgreSQL
  • AEP / AJO
  • Kubernetes