Key Responsibilities:

• Lead the design and scaling of infrastructure to support large-scale recommendation and ads serving systems.
• Ensure high availability, reliability, and performance of serving and infra systems.
• Implement best practices for distributed systems, including load balancing, caching, and failover mechanisms.
• Collaborate with ML engineers and backend developers to optimize model deployment and serving pipelines.
• Identify and resolve infrastructure bottlenecks to improve system throughput and latency.
• Drive infrastructure automation, monitoring, and incident response processes.
• Guide architectural decisions and technology choices to align with growth and scalability goals.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years of experience in infrastructure engineering or backend systems development.
• Strong expertise in building and scaling distributed systems for high traffic environments.
• Proficiency in cloud platforms and container orchestration (Kubernetes, Docker).
• Experience with large-scale data systems (Kafka, Hadoop, Spark, Flink) and storage solutions.
• Solid understanding of CI/CD pipelines, observability tools (Prometheus, Grafana), and system monitoring.
• Hands-on experience with high-performance serving systems for recommendation or ads platforms is a plus.
• Strong leadership, communication, and collaboration skills.

Preferred Qualifications:

• Experienced with using node.js for backend development
• Experienced with infrastructure & tools of AWS
• Experienced with message Queue such as RabbitMQ.