Senior Full Stack Developer-CMX

We are seeking a Senior Full Stack Developer to support the development of an end-to-end campaign management portal for CMX business operations.

This role focuses on building scalable front-end and back-end solutions to unify fragmented processes into a single platform.

The candidate will play a key role in development, code quality, stakeholder collaboration, and future integration with AI-driven capabilities.

• Design, develop, and maintain front-end and back-end components of the campaign management portal.
• Build scalable web applications using modern frameworks and microservices architecture.
• Collaborate with internal teams and external partners during the initial development phase.
• Review code developed by team members to ensure quality, consistency, and adherence to best practices.
• Act as a central point of ownership for the application, ensuring alignment across teams.
• Lead deployment activities, support User Acceptance Testing (UAT), and promote releases to production.
• Provide technical guidance to data engineering and data science teams working on AI components.
• Contribute to system architecture planning for future phases, including AI integration.
• Work closely with stakeholders to gather requirements and ensure successful product delivery.
• Participate in the full software development lifecycle including design, development, testing, and deployment.

• Strong experience in full stack development with expertise in React and Type Script for front-end development.
• Proficiency in backend development using Python, particularly FastAPI, and building microservices.
• Experience with relational and No
  
  SQL databases such as SQL, Mongo
  
  DB, or Elasticsearch.
• Understanding of application integration, including caching mechanisms and performance optimization.
• Experience with caching technologies such as Redis.
• Hands-on experience with CI/CD pipelines, Kubernetes, and deployment processes.
• Experience working with cloud platforms such as GCP or equivalent.
• Strong understanding of the software development lifecycle (SDLC).
• Ability to perform code reviews and maintain high-quality coding standards.
• Strong communication and stakeholder management skills.

• Experience working with AI technologies, including chatbots or agent-based systems.
• Experience collaborating with cross-functional teams including data engineering and data science.