Senior Staff Software Engineer, Data Platform

December 17, 2024

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Logo of Discord

Discord

Discord is a communication platform designed for creating communities. Users can chat via text, voice, or video, and the platform is known for its emphasis on gaming. It provides customized experiences with features like custom emojis, stickers, and soundboard effects. Discord supports seamless streaming with high quality and low latency, making it ideal for gamers to hang out and play games together online. It is accessible across various devices including PC, phone, and console. Additionally, Discord places a high priority on safety and moderation, offering resources and guidelines for keeping communities safe and engaging. It is widely used for social interactions, gaming, and community building.

Video Games โ€ข Text Chat โ€ข VOIP

501 - 1000 employees

Founded 2015

๐ŸŽฎ Gaming

๐ŸŒ Social Impact

๐Ÿ“ก Telecommunications

๐Ÿ’ฐ $12G Venture Round on 2022-03

๐Ÿ“‹ Description

โ€ข Design, develop, and maintain data infrastructure and services. โ€ข Collaborate with cross-functional teams to deliver modern solutions that drive business insights. โ€ข Define and execute the technical vision for Discord's data platform, enabling scalable and reliable data systems. โ€ข Build monitoring, logging, and alerting systems to ensure the health and performance of data services. โ€ข Promote and drive best practices in data governance, security, and compliance across the organization. โ€ข Provide technical leadership and mentor junior engineers.

๐ŸŽฏ Requirements

โ€ข 8+ years of experience in software engineering with a focus on large-scale distributed systems or data infrastructure. โ€ข Expertise in building and maintaining scalable data platforms, including data ingestion pipelines, stream processing, and batch processing systems. โ€ข Proficiency in programming languages such as Python, Java, Rust, or similar. โ€ข Proficiency with open source data projects and experience working with open source communities. โ€ข Hands-on experience with modern data technologies such as Kafka, Spark, Flink, Airflow/Dagster, or similar. โ€ข Deep understanding of database systems (e.g., SQL, NoSQL, columnar storage) and data modeling principles. โ€ข Strong knowledge of cloud infrastructure (AWS, GCP, or Azure), containerization tools (Docker, Kubernetes), and microservices architecture. โ€ข Excellent communication skills with a demonstrated ability to collaborate and influence across teams and levels. โ€ข Proven ability to thrive in a fast-paced environment.

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