Lead backend engineers, design and implement scalable distributed systems, optimize CI/CD processes, and ensure high performance and reliability in cloud-native applications.

Build and maintain backend Python services and automation to enable secure, automated deployments. Improve CI/CD pipelines, write reliable modular code, design and review systems, create unit tests, and collaborate across teams to troubleshoot performance and deploy scalable APIs.

Create and maintain user guides, API guides, release notes, infographics, and training videos. Translate complex technical concepts into clear documentation and improve UI copy. Collaborate with product managers, developers, and customer engagement to gather information, update docs for product changes, and ensure accuracy, consistency, and documentation standards.

Lead implementation of ML solutions, mentor data science team, design scalable systems, and ensure customer success in data science projects.

The Director of Engineering will lead global engineering teams to innovate and deliver AI-powered enterprise solutions while fostering team development and engineering excellence.