Senior Software Engineer, Twitch
Role details
Job location
Tech stack
Job description
- 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.
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.
Benefits & conditions
3.53.5 out of 5 stars Seattle, WA $151,300 - $261,500 a year - Full-time, Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.