Senior Software Engineer, Twitch

• 6+ years of experience in data engineering, DevOps, or infrastructure engineering roles
• Strong hands-on expertise with cloud platforms
• Proficiency in data pipeline tools (e.g., Airflow, dbt, AWS Glue, Flink)
• Experience with data storage technologies (e.g., Redshift, Snowflake, BigQuery, Delta Lake, Iceberg, Parquet)
• Proficiency in GO, SQL, and Python for building and maintaining data systems
• Solid understanding of distributed systems and performance optimization

Desirable

• Our Video Team is the backbone of Twitch
• Twitch processes a massive amount of live video channels and distributes them using the largest dedicated live video CDN in the world, delivering over 25Tbps to more than 5MM concurrent viewers
• In addition to serving Twitch traffic, our video platform is offered as Amazon Interactive Video Service, an AWS service that allows the creation of a live video streaming platform with only a few lines of code
• Engineers with our Video Team work across a range of areas including ingest, transcoding, and distribution with the lowest latency high-scale HLS distribution system in the world
• IVS is building the future of interactive video and we are seeking a Data Infrastructure Engineer to design, build, and maintain the systems that power our data-driven organization
• In this role, you will ensure that our data pipelines, storage, and processing systems are reliable, scalable, and optimized for analytics, machine learning, and business intelligence use cases
• You will collaborate with data engineers, analysts, and software teams to create infrastructure that enables efficient and secure access to high-quality data
• Design, implement, and maintain scalable data infrastructure in AWS cloud
• 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 data engineering 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