Software Development Manager, Ads AI Realtime Data, AI Core Infrastructure, Amazon

Software Development Manager
Bengaluru
May 22, 2026
Full Time

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Job Description

Amazon is hiring a Software Development Manager to lead Ads AI Realtime Data and AI Core Infrastructure, which includes supervising scalable AI and machine learning systems together with developing solutions that will optimize real-time data processing systems and platform architecture while delivering innovative solutions that will improve performance and decision-making capabilities of Amazon Advertising.

Qualification: Bachelor’s Degree in Computer Science/Engineering or equivalent

Experience: 7+ years engineering, 3+ years team management

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Main Duties

  • Lead platform architecture for real-time data ingestion, processing, and delivery across AI agents.
  • Manage and mentor engineering teams building scalable AI data infrastructure systems.
  • Drive system reliability, monitoring, and operational excellence for high availability platforms.
  • Collaborate with applied scientists and product teams to deploy AI innovations.
  • Define technical roadmap aligning scalability, performance, and business objectives.

Essential Qualifications

  • Expertise in distributed systems together with real-time data processing technologies.
  • Demonstrate ability to lead engineering teams while developing and maintaining extensive systems. 
  • Complete knowledge of all software development stages which includes testing and deployment activities. 
  • Experience designing scalable and reliable systems with low latency requirements.
  • Demonstrates strong skills to work together with product management and program management teams.

Preferred Skills

  • Experience working with AI/ML infrastructure and AI agent-based systems. 
  • Candidates possess effective communication abilities which enable them to impact both technical teams and executive management. 
  • Expertise in three areas which include hiring new staff, developing their abilities and expanding engineering teams. 
  • Knowledge of Kafka streams, data warehouses and building extensive data processing systems. 
  • Able to transform intricate business needs into technical systems that can grow to meet future needs.