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