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Nominal is seeking a backend engineer to design, build, and operate distributed systems for high-frequency telemetry data. You will drive scalability, reliability, and data consistency while shaping backend architecture and collaborating with cross-functional teams.
The role requires hands-on experience with Go, Rust, or Java, plus cloud tooling, storage systems, and streaming/data-processing technologies. You will own systems through production operations and contribute to a robust backend
Design, build, and operate distributed backend systems for ingesting, processing, storing, and serving high-frequency telemetry and sensor data. Improve scalability, reliability, data consistency, and performance, while contributing to backend architecture and collaborating with product, infrastructure, and customer-facing teams.
Requirements: Requires 3+ years of experience building performance-sensitive, reliable distributed systems and strong experience with Go, Rust, or Java. Candidates should have cloud and production tooling experience, hands-on familiarity with storage systems and streaming or data-processing technologies, and the ability to communicate clearly and own systems through production operation.
Key Skills: Distributed Systems, Go, Rust, Java, Cloud Infrastructure, Kubernetes, Docker, Terraform, Storage Systems, Time-Series Databases, ClickHouse, TimescaleDB, Druid, InfluxDB, Parquet, Kafka
Benefits: