REQUIRED SKILLS & EXPERIENCE

• Strong technical background with hands-on experience in Linux systems administration , shell scripting, and automation tools.
• Knowledge of DevOps tools (Docker, Kubernetes, CI/CD systems, monitoring tools like Prometheus/Grafana).
• Understanding of AI/ML workflows including dataset preparation, training pipelines, and inference systems.
• Experience with cloud services (AWS, GCP, Azure) and bare-metal / edge deployments .
• Familiarity with software testing practices and QA methodologies.
• Ability to troubleshoot software, model, and system issues across the stack.
• Strong analytical and problem-solving skills; proactive in identifying and resolving operational issues.
• Comfortable working with both structured and unstructured data .

NICE-TO-HAVE SKILLS

• Exposure to video processing or AI-based media workflows.
• Experience with GPU-accelerated systems and drivers.
• Familiarity with database systems and message queues (PostgreSQL, MongoDB, Kafka, Redis, etc.).
• Scripting in Python for automation and data manipulation.

ROLE OVERVIEW

The Lead – Product Operations is responsible for ensuring that DRPL’s AI-driven video understanding and video modification systems run smoothly across both VoD and Live environments. This is a hands-on, highly technical role that blends dataset preparation, AI model training support, software testing, production monitoring, and DevOps practices . The role requires someone who can bridge the gap between engineering and operations, ensuring the health of our AI pipelines and infrastructure on a daily basis.
You will own operational excellence for production systems, ensuring data readiness, pipeline reliability, and proactive issue resolution across both cloud and on-premise (edge) deployments.