Site Reliability Engineer - Low-Latency Trading Systems

Ondo Finance develops institutional-grade, blockchain-enabled investment products and services, including tokenized financial products and decentralized finance technology. The company is seeking a Site Reliability Engineer to own the reliability, observability, and performance of real-time, low-latency trading systems across Go and Rust services, Kubernetes, and AWS. The role involves incident response, market data reliability, reconciliation tooling, and safe deployment practices for 24/7 trading operations.

Responsibilities:

• Debug production incidents end to end: stale market data feeds, exchange rate limits, WebSocket disconnects, order-lifecycle desyncs, and latency regressions in the trading path
• Harden market data ingestion from providers such as Databento and venue-native feeds (REST and WebSocket), including staleness detection, failover, and replay
• Build reconciliation and data-integrity tooling across live gauges, Postgres, and our S3 parquet data lake, so positions, fills, and PnL always agree
• Participate in an on-call rotation covering US equity market hours and 24/7 crypto venues

Requirements:

• 5+ years in SRE, production engineering, or infrastructure roles, with meaningful time supporting real-time or latency-sensitive systems
• Strong programming ability in Go or Rust, and willingness to work in both; this role changes application code, not just infrastructure
• Deep, hands-on Kubernetes and AWS experience: you have run stateful, latency-sensitive workloads in production, not just stateless web services
• Strong observability instincts: fluent PromQL, structured-log analysis, and experience designing alerts with high signal and low noise
• Solid Linux internals and networking fundamentals: you can chase a p99 regression through the kernel, the NIC, or the GC
• Sound judgment under pressure and clear written communication during and after incidents
• Experience operating trading systems, execution infrastructure, or market data infrastructure at a trading firm, exchange, or broker
• Familiarity with market microstructure and order lifecycle (order books, order types, fills and reconciliation)
• Experience with market data providers and protocols (Databento, SIP/prop equity feeds, venue WebSocket APIs)
• Exposure to crypto venues and on-chain trading
• Python for operational tooling and data analysis (pandas, parquet, BigQuery)
• Experience with GitOps workflows, infrastructure as code, and secrets management at scale