Description

Design and implement scalable, low-latency microservices for high-volume ad-serving systems. You will own distributed data processing pipelines, optimize system performance, and mentor junior engineers.

This role is on-site.

Responsibilities

• Design and build secure, scalable microservices for real-time ad selection and indexing.
• Implement distributed data processing systems using Kafka, Spark, or Flink.
• Optimize system performance and reliability while ensuring data integrity.
• Contribute to architectural decisions and mentor junior engineers.
• Collaborate cross-functionally to support search capabilities.

Required Skills

• 5+ years of industry experience in building scalable microservices or data-driven platforms.
• Proficiency in data processing technologies: Kafka, Spark, or Flink.
• Experience designing and implementing secure, scalable systems in cloud environments, specifically AWS.
• Bachelor’s degree in computer science or a related field (Any Graduate).
• Strong background in low-latency system design.
• Ability to drive architectural decisions.
• Experience mentoring and leading technical best practices.

Key Skills

Education

Any Graduate