Database Administrator

About the RoleWe are building a next-generation brokerage and trading platform for US equities markets. Our databases power order management, market data, clearing and settlement, risk controls, and customer asset systems — workloads that demand sub-millisecond latency, strong consistency, 24/7 availability, and rigorous regulatory compliance.We are looking for a seasoned DBA with deep expertise in financial-grade data systems to help us architect and operate world-class data infrastructure for capital markets.What You'll DoOwn the architecture, deployment, and day-to-day operations of database systems powering our US equities trading platform, including PostgreSQL, MySQL, Redis, Elasticsearch, as well as time-series and OLAP engines such as ClickHouse and TimescaleDB.Design and deliver database architectures for trading, market data, and clearing/settlement paths that meet sub-millisecond response, 24×7 availability, RPO ≈ 0, and minute-level RTO targets.Lead capacity planning, backup and recovery, monitoring and alerting, performance tuning, and incident response; drive root-cause analysis and post-mortems for P0/P1 incidents.Establish and continuously evolve database standards, change-management procedures, and audit controls that align with US regulatory requirements including SEC Rule 17a-4, FINRA, and SOX.Design and operate multi-region disaster recovery architectures (e.g., US-East / US-West) to ensure business continuity under region- or AZ-level failures.Serve as the data expert for engineering teams — reviewing schema designs, auditing and tuning SQL, leading pre-market and load-testing exercises, and gating production changes.Drive automation across the database platform: self-service query tooling, automated release pipelines, slow-query governance, capacity forecasting, and more.Mentor engineers and run regular training on database best practices to raise the bar across the organization.What We're Looking ForDeep database internals knowledge — strong command of PostgreSQL and/or MySQL storage engines, MVCC, transaction isolation, query planners, and replication (physical, logical, semi-sync); able to diagnose non-trivial issues at the source-code or protocol level.High availability and consistency — hands-on experience with production-grade HA solutions (Patroni, MHA, Orchestrator, Redis Sentinel/Cluster, Elasticsearch clustering), and a clear understanding of the CAP and consistency trade-offs each one implies.Performance engineering at scale — proven track record operating systems with millions of QPS and TB-to-PB data volumes; fluent in diagnosing and resolving bottlenecks around locking, I/O, execution plans, connection pooling, sharding, and read/write separation.Cloud-native databases — strong working knowledge of AWS RDS/Aurora, GCP Cloud SQL/AlloyDB, or equivalents; understanding of their internals, cost model, and multi-AZ / multi-region deployment patterns.Observability — proficient with Prometheus, Grafana, pgBadger, Percona Toolkit, and similar tools; able to design end-to-end monitoring and alerting from scratch.5+ years of DBA experience on large-scale production systems, with full ownership of architecture, deployment, and long-term evolution.Bilingual in English and Chinese to effectively collaborate with cross-functional and regional teams.Nice to HaveCapital markets experience — prior work at a broker-dealer, exchange, market maker, or clearing firm (US, HK, or other major markets); familiarity with common data models for orders, market data, positions, and settlement.Compliance and security — working knowledge of how SEC Rule 17a-4, FINRA, SOX, and PCI-DSS translate into concrete requirements around data retention, immutable audit logs, and encryption; prior experience supporting regulatory audits.Low-latency systems — experience tuning database paths for low-latency trading: kernel parameters, NUMA, network stack, storage selection, etc.Engineering skills — proficient in at least one of Python, Go, or Java; able to independently build internal tooling and data-platform components.Systems fundamentals — strong Linux internals, file systems, and TCP/IP knowledge; comfortable using perf, bpftrace, and eBPF for system-level analysis.Time-series / analytics — production experience with ClickHouse, TimescaleDB, Kdb+, or InfluxDB in market data or risk use cases.Certifications — Oracle OCM, AWS Database Specialty, PostgreSQL professional certifications, or equivalent.