We are seeking a skilled Full-Stack Developer for one of our distinguished clients. Our client is a technology company that specializes in transforming brand safety and contextual advertising through advanced AI and machine learning solutions. They deliver sophisticated content analysis across multiple media formats, providing granular insights into content risk, sentiment, and thematic elements that go beyond traditional keyword-based approaches.

This role involves developing scalable applications and backend infrastructure that powers next-generation brand safety and content suitability platforms. You'll work across the entire technology stack, utilizing your expertise in Python, API development, browser automation frameworks, CI/CD processes, and large language models to create innovative solutions and maintain high-performance systems.

Key Responsibilities

• Design, develop, and maintain scalable APIs and backend infrastructure for processing and delivering brand safety and content suitability data
• Build integrations with third-party advertising ecosystem platforms including DSPs, SSPs, and CDPs
• Deploy machine learning models and business logic into production environments
• Create and optimize client-facing JavaScript implementations for publishers, focusing on performance, privacy compliance, and cross-browser functionality
• Maintain data accuracy and integrity throughout all system layers
• Build and enhance web applications ensuring optimal functionality and user experience across the full stack
• Take ownership of complete product features from conception through deployment
• Design and manage database systems, optimizing performance while ensuring data security
• Perform code reviews, debugging, and troubleshooting to maintain software quality standards
• Utilize AI tools, models, and capabilities to enhance product offerings
• Research and implement emerging technologies, tools, and development best practices

Required Qualifications

• 10+ years of software engineering experience
• Bachelor's degree in Computer Science, Software Engineering, or related technical field
• Advanced proficiency with backend programming languages and frameworks (Node.js, Python, Go, Java) including REST and GraphQL API development
• Extensive experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and automated deployment processes (CI/CD)
• Experience with event streaming technologies (Kafka, Kinesis) and large-scale data processing systems