Overview

We are seeking a Lead MarTech Full Stack Engineer to spearhead engineering initiatives at the intersection of marketing technology, big data and full-stack development. This role is pivotal in designing and implementing scalable real-time systems and customer-facing applications while collaborating with cross-functional teams to drive technical excellence and business impact.

Responsibilities

  • Lead MarTech engineering projects involving data processing, orchestration, activation pipelines and application layers
  • Architect scalable event-driven systems for real-time marketing and automated customer journeys
  • Design and implement orchestration workflows using Adobe Campaign or equivalent platforms
  • Build high-performance big-data applications with Scala, Databricks, Spark SQL, Spark Streaming and Python
  • Develop and optimize cloud-native pipelines on Azure using Azure Data Factory
  • Create and maintain full-stack applications with technologies like React, Angular or Vue on the frontend, and Node.js, Python or Java on the backend
  • Implement robust APIs and microservices to integrate MarTech platforms with customer-facing solutions
  • Apply advanced design patterns for scalability, reliability and maintainability in distributed systems
  • Drive adoption of AI-assisted engineering practices like Vibe Coding to optimize development processes
  • Partner with product, marketing and data teams to convert business requirements into technical solutions
  • Mentor engineering colleagues, enhancing code quality, team performance and operational excellence

Requirements

  • 5+ years of full-stack development experience including React, Angular or Vue for frontend combined with Node.js, Python or Java for backend development
  • Qualifications in RESTful and GraphQL API design as well as CI/CD pipelines for full-stack deployments
  • Familiarity with AI-driven development tools like Vibe Coding or similar frameworks
  • Proven track record of leading technical teams in dynamic collaborative environments
  • Effective communication skills to align stakeholders and translate complex technical concepts into business-focused outcomes
  • Advanced proficiency in English (C1+)

Nice to have

  • Background in large-scale marketing ecosystems such as ESP, CDP or real-time decisioning platforms
  • Knowledge of high-volume data processing for customer engagement and growth strategies
  • Competency in DevOps practices including CI/CD pipelines, observability and automated testing for both data and application layers
  • Familiarity with AI/ML pipelines for personalization, segmentation or content automation
  • Showcase of building customer-facing web applications integrated with MarTech and data platforms

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn