Tech Stack

Description

Develop backend and data engineering frameworks for Revenue AI, marketing, and analytics products. Solve complex scalability and performance problems, design high-performance REST APIs, and build large-scale data processing applications. You'll collaborate with cross-functional teams, mentor junior engineers, and leverage generative AI tools to accelerate development.

Requirements

• BS/MS in Computer Science or related field
• 5+ years of software engineering experience
• Strong foundation in data structures, algorithms, and software design
• Experience with UNIX/Linux environments
• Strong backend development skills in Java (Spring Boot) and Python (Django)
• Experience with SQL/NoSQL databases (MySQL, Hive preferred)
• Hands-on experience with AI coding tools (e.g., Claude, Cursor, Windsurf or similar)
• Experience with TDD and CI/CD pipelines

Responsibilities

• Develop backend and data engineering frameworks for Revenue AI, marketing, and analytics products
• Solve complex problems related to scalability, performance, and large-scale data processing
• Design and build high-performance REST APIs for internal and external use
• Build and maintain high-volume, large dataset production applications
• Collaborate with Product Managers and Architects on system design and problem-solving
• Support QA and DevOps teams with testing frameworks and automation
• Mentor junior engineers and provide technical guidance
• Leverage generative AI tools to accelerate development across the SDLC
• Design and orchestrate workflows across planning, coding, testing, and deployment
• Integrate AI-assisted development practices to improve productivity and code quality