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Become a Backend Developer at Camb. Use your expertise in Node.js, Python, Java, or Go to shape AI's future.
Company Overview : CAMB.AI is a leading provider of AI-driven language and video processing solutions, revolutionizing how content is localized for diverse audiences worldwide. Our platform leverages cutting-edge artificial intelligence to help sports leagues, media companies, and content creators translate videos, live streams, and other digital content into over 150 languages. We are growing rapidly and are looking for a skilled Backend Engineer to help scale our platform.
Position Overview : As a Backend Engineer at CAMB.AI, you will be responsible for building, maintaining, and optimizing server-side logic, ensuring high performance and responsiveness to requests from the front end. You will work closely with cross-functional teams, including frontend developers, data engineers, and AI specialists, to ensure our platform remains robust, secure, and scalable.
Design, develop, and maintain server-side features for CAMB.AI’s localization platform.
Implement and optimize APIs to support seamless integration between frontend, backend, and third-party services.
Collaborate with AI/ML teams to ensure smooth integration of machine learning models into backend systems.
Ensure the scalability and performance of the backend infrastructure to handle large-scale data processing and real-time video streams.
Optimize and refactor existing code to improve efficiency, scalability, and security.
Write clean, efficient, and maintainable code following industry best practices.
Troubleshoot, debug, and resolve any server-side issues or bottlenecks.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
5+ years of experience in backend development, ideally working with scalable and distributed systems.
Proficiency in backend technologies such as Node.js, Python, Java, or Go.
Strong experience with databases (SQL/NoSQL), caching mechanisms, and RESTful APIs.
Familiarity with cloud platforms like AWS, Google Cloud, or Azure, and experience with microservices architecture.
Experience with containerization tools (e.g., Docker, Kubernetes) is a plus.
Strong knowledge of version control systems (e.g., Git) and CI/CD pipelines.
Excellent problem-solving skills, with a focus on performance optimization and scalability.
Strong communication and collaboration skills, with the ability to work effectively in a remote, cross-functional team.
Nice to Have :
Experience in working with video processing or AI-driven solutions.
Familiarity with serverless architecture.
Knowledge of security best practices and experience in securing APIs.
