Adaptive ML - Backend Engineer, Database

• Design, iterate, and implement the backend data layer powering our products; • Own the architecture and operation of high-availability, high-throughput PostgreSQL systems; • Build and maintain ClickHouse pipelines for analytics and large-scale event data at production scale; • Develop high-quality Rust software, with elevated standards of performance and robustness; • Define systematic processes for data modeling, schema evolution, and reliability across our stack; • Contribute to our product roadmap, aligning the needs of our Commercial Team with the latest advancements from our Technical Team; • Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication. • Your (ideal) background • Deep, hands-on expertise with PostgreSQL at scale — replication, failover, connection pooling, query optimization, and schema design under high transactional load; • Production experience with ClickHouse — ingestion pipelines, data modeling for analytical workloads, and performance tuning at scale; • Strong software engineering skills, with a focus on robustness and performance; • A track record of shipping ambitious technical products under tight deadlines; • A deep concern for user experience, and how data infrastructure choices manifest in product quality; • Passionate about the future of generative AI, and eager to build foundational technology to help machines deliver more singular experiences. • Comfortable leveraging AI-assisted programming tools (e.g. Cursor, Claude Code, or similar) as part of an established personal workflow to ship faster and with greater confidence. • Experience with observability tooling — monitoring, alerting, and distributed tracing (e.g. Prometheus, Grafana, OpenTelemetry) — is a plus.