Senior Software Engineer, Twitch

Twitch•Seattle, WA

About The Position

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. 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. A day in the life We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the team 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 creation of live video streaming with only a few lines of code. Engineers with our Video Team work across areas including ingest, transcoding, and distribution with the lowest latency high-scale HLS distribution system in the world.

Requirements

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
6+ years of hands-on infrastructure, troubleshooting, systems administration, networking, DevOps or applications development experience
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.
Experience with real-time data streaming and event-driven architectures.
Strong hands-on expertise with AWS cloud
Background in observability and monitoring
Knowledge of data governance, security, and compliance best practices
Prior experience supporting machine learning or advanced analytics environments.

Responsibilities

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume