Jobs · Consulting · Washington

Sr. Data Infrastructure Engineer, Amazon Interactive Video Service (IVS)

Amazon Web Services (AWS) · Seattle, WA · 3 wk ago
ConsultingFull-time

Design, implement, and maintain scalable data infrastructure in native AWS

  • Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads
  • Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting
  • Work closely with product and analytics teams to understand requirements and deliver high-performance solutions
  • Champion best practices for security, compliance, and governance in data infrastructure
  • Identify opportunities to optimize performance and cost of data platforms
  • Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem

About the Team

AWS's Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that powers engaging live experiences for millions of viewers worldwide. We provide the technology and support needed to deliver low-latency and real-time video experiences.

Key Job Responsibilities

Empower internal teams and IVS customers with the data they need to make key operational and business decisions

  • Gather and access data at scale
  • Extract meaningful insights
  • Trust their data

Basic Qualifications

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Bachelor's degree in computer science or equivalent
  • Experience in software development, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Preferred Qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

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