Software Engineer, Data
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Job Description
Design and operate metering and analytics infrastructure for LiveKit's voice-driven platform. Collaborate across teams to ensure data integrity and optimize performance.
Responsibilities:
- Design and evolve metering and analytics infrastructure spanning real-time analytics, long-term analysis, data transfer, governance, and retention policies
- Collaborate with teams across the organization to ensure metering and analytics are correct and complete for their domains
- Monitor and manage datasets with varying cardinality
- Ensure data reliability through delivery guarantees, dead letter queues, validation, and anomaly detection
- Design and enforce schema evolution strategies to evolve infrastructure without breaking downstream consumers
- Optimize ClickHouse and blob storage for query performance and reliability
Requirements:
- Strong experience designing and operating data pipelines and distributed systems in production across dozens of global regions
- Extensive experience with Go programming language
- Deep experience with columnar/analytical databases (ClickHouse, BigQuery, or similar)
- Strong understanding of data correctness, delivery semantics, and schema compatibility
- Previous experience working on data-intensive SaaS applications with web-based dashboards in the analytics space
- Nice to have: Experience with stream processing frameworks (Kafka, Pulsar), Kubernetes, OpenTelemetry, protobuf/Avro schema registries, or usage-based billing/metering systems
Benefits:
- Competitive salary and equity package
- Health, dental, and vision benefits
- Flexible vacation policy
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