Distributed Systems Engineer, Analytical Database Platform

Role overview Build and operate backend systems that ingest, process, store, and deliver large volumes of data for analytics and customer-facing products. You’ll focus either on an analytical database platform or on data delivery and retrieval, working across the data lifecycle to improve performance, reliability, and access to information.

Responsibilities - Design, build, and operate distributed systems for high-volume data workloads, primarily using Go. - Improve data integrity, latency, query performance, availability, and operational efficiency. - Make services resilient with approaches such as backpressure, retries, idempotency, replication, and graceful degradation. - Set service objectives, monitor production health, plan capacity, respond to incidents, and investigate bottlenecks. - Depending on focus, operate analytical database clusters or build streaming pipelines, APIs, log delivery, and near real-time alerting systems. - Collaborate with product and engineering teams on data needs, evaluate technologies, and take part in an on-call rotation.

Requirements - At least three years of professional experience with backend, infrastructure, database, or distributed-data systems. - Strong Go skills, or substantial Rust or C++ systems experience and the ability to become productive in Go. - Experience operating production services, including deployment, monitoring, capacity planning, incident response, and debugging. - Solid understanding of distributed-systems concepts such as concurrency, consistency, fault tolerance, partitioning, and data integrity. - Experience with high-throughput or low-latency data processing and observability tools such as Prometheus and Grafana. - Depth in either database systems and query performance, or data delivery through streams, pipelines, APIs, and integrations.

Nice to have - Experience with ClickHouse or another large analytical database; Kafka, Flink, or similar streaming tools; or GraphQL and high-volume APIs. - Familiarity with infrastructure-as-code tools, containers, Kubernetes, or Linux. - Contributions to open-source database or distributed-systems projects.

Benefits and work setup - Listed work locations include several US cities, Lisbon, and London. - The role is eligible for an equity plan. US benefits include health, dental and vision coverage, spending accounts, family-forming support, mental health resources, travel medical coverage, disability and life insurance, retirement savings, employee stock participation, flexible paid time off, and leave programs. Benefits may vary by country.