Jobs · Consulting · California

Software Development Manager, Alexa AI Logistics for Infrastructure, Cost, & Efficiency

Amazon · Sunnyvale, CA · 1 wk ago
ConsultingFull-time

Key job responsibilities

  • Owning and operating a centralized inference service that manages model access, capacity utilization, and intelligent traffic prioritization and throttling at massive scale
  • Ensuring inference services meet Alexa's stringent latency and throughput requirements, with comprehensive observability and monitoring
  • Building solutions that maximize the efficiency of GPU and compute resources, including scheduling systems that optimize workload execution across real-time and offline inference traffic
  • Driving infrastructure expansion into new AWS regions to support Alexa's international growth
  • Collaborating with teams across Alexa, AGI, and AWS to align inference service capabilities with evolving product and infrastructure needs

Basic Qualifications

  • 3+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience partnering with product or program management teams

Preferred Qualifications

  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
  • Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
  • Experience in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between

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