3 months ago
Remote, CanadaMid Level / Senior
Responsibilities
- Design, develop, and operate large-scale, high-performance infrastructure powering Confluent Cloud.
- Build foundational software that improves reliability, scalability, and efficiency across cloud environments.
- Solve distributed-systems problems involving consensus algorithms, failover strategies, and resource allocation.
- Collaborate across Confluent to optimize infrastructure for real-time data streaming use cases.
- Troubleshoot and improve reliability, observability, and performance across AWS, Azure, and GCP.
- Own infrastructure for scalable, cost-efficient AI inference and agent serving on streaming data.
Requirements
- 2–5 years of industry experience designing, building, and supporting backend systems in production.
- Strong fundamentals in distributed systems, cloud infrastructure, and networking.
- Experience building and operating large-scale, highly available systems.
- Understanding of AWS, Azure, or GCP and their services.
- Proficiency in Java, Scala, C++, Go, or another statically typed language.
- Bachelor’s, master’s, or doctoral degree in computer science or a related field, or equivalent work experience.
- Exposure to model serving, LLM or agent infrastructure, or streaming data systems is an advantage.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
About Confluent
Confluent builds an enterprise data streaming platform centered on Apache Kafka to move and process real-time data across systems. Its products include Confluent Cloud (managed Kafka) and Confluent Platform (self-managed), sold via SaaS subscriptions, support, and enterprise licensing; capabilities include stream processing and Cluster Linking for multi-region replication and migration. Founded in 2014 and headquartered in Mountain View, California, Confluent is a public company on NASDAQ.