Full-Stack Developer

EverC is a pioneer in cutting-edge technologies that illuminate the darkest corners of the internet, empowering organizations to make data-driven decisions. By leveraging artificial intelligence and machine learning, EverC assesses hundreds of millions of domains to provide unparalleled insights into online risks, hidden relationships, and digital fingerprints. These insights reveal opportunities for scaling businesses confidently while mitigating fraud and risk.

About the role:

EverC is seeking a skilled, passionate, and seasoned full-stack developer to join building our next generation product platform. You will be part of a dynamic and diverse development team, play a pivotal role in shaping our flagship product leveraging our unique AI driven capabilities. Working closely with team members (Dev, Product, QA, Design) you will actively participate in designing our customer facing application, the processing happening behind it as well as the exchange with the rest of our vast infrastructure.

Responsibilities:

• Design, develop, and shape our flagship product.
• Collaborate with team members to iteratively build a robust solution creating customer satisfaction
• Choose the right tools and frameworks to fit the real world problems arising
• Review code and design to help others improve their solution as well
• Take ownership of system components from design to production setup
• Expected Full stack ratio 70% FE, 30% BE
  
  

• At least 3 years of experience developing with a modern Front End framework (such as React or Vue)
• At least 2 years of experience with developing a modern back end stack – Java-Spring would be preferred
• Knowledge of Database considerations (both realtional and noSQL is preferred)
• Experience with a distributed microservices-based architecture
• Experience with cloud infrastructure – AWS would be preferred
• Experience with large volume systems - preferred
• Experience with streaming architecture – preferred
• Experience developing a data centric product – preferred
• Experience with K8s including writing helm charts – preferred
• Fluent in English
  
  

• Eagerness or prior experience working with GenAI tools such as GitHub Copilot, Claude CLI, or GPT for day-to-day development tasks.
• Familiarity with maintaining agent.md or similar AI workflow documentation.
• Comfort using AI tools responsibly to improve efficiency, productivity, and collaboration.
• Exposure to AI-assisted code review, instruction generation, or Model Context Protocol (MCP) concepts.