Director of Engineering

Key Responsibilities: • Work closely with the product and engineering leaders to design and build the enterprise systems, asset management platform and consumer products with distributed backend systems and scalable cloud infrastructure capable of supporting millions of users. • Solve complex engineering challenges, drive industry-first innovation with a hands-on approach, fostering a culture of tech excellence. • Drive the integration of AI/ML capabilities, such as predictive analytics, real-time image processing, and intelligent search. Lead the end-to-end development of scalable ML pipelines, ensuring robust model deployment and performance. • Implement best practices for incident management, ensuring 24/7 availability of the platform and champion infrastructure-as-code practices. Streamline CI/CD pipelines for automated testing, deployment, and scaling. • Build a dream team by recruiting, mentoring and managing performance of the engineering team.

Key Skills and Experience: • Extensive experience designing and managing large-scale, distributed systems in cloud environments with demonstrated success in delivering systems supporting millions of users. • Strong understanding of cross-platform development, ensuring smooth integration of services for consistent user experience. Experience in managing high-traffic mobile and web applications is a plus. • Deep expertise in backend engineering, micro-services architecture, and cloud-native design principles.

• Experience in deploying AI/ML solutions, including data engineering, model training, and production pipelines. • Expertise in implementing incident management and disaster recovery plans. Hands-on experience with automation tools and frameworks to drive efficiency across development and operations. • Prior experience in managing and providing tech leadership to engineering teams with an eye for the right talent, and experience in recruiting and hiring a team. • Familiarity with frameworks like TensorFlow, PyTorch, or OpenCV is highly desirable. • Proficiency with Kubernetes, Docker, and CI/CD pipelines to drive reliability and speed. • Advanced knowledge of monitoring tools like Grafana, Prometheus, and Splunk to ensure system health and proactive issue detection.

Experience:

• 10-12 years in software engineering, with at least 5-7 years in leadership roles managing large-scale platforms.
• Track record of delivering platforms used by millions of users with high reliability and performance.