Remote SRE: Low-Latency Trading Systems

Openkrill; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive pay

Equity

Full benefits

Remote-friendly culture

Job summary

Ondo Finance seeks an experienced SRE to own reliability for its real-time trading platform. You will read and modify Go and Rust code, debug latency issues, run incident response during market hours, and build automation to keep a 24/7 system healthy with a small team.

The role emphasizes Kubernetes on AWS, GitOps with Flux, and strong observability using Prometheus, Datadog, and dashboards. Remote work across the US is supported.

Qualifications

• 5+ years in SRE, production engineering, or infrastructure roles.
• 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.
• Strong observability instincts: fluent PromQL, structured-log analysis, and alert design with high signal/low noise.
• Solid Linux internals and networking fundamentals: able to chase p99 regressions through kernel, NIC, or GC.
• Sound judgment under pressure and clear written communication during incidents.

Responsibilities

• Debug production incidents end to end: stale market data feeds, exchange rate limits, WebSocket disconnects, latency regressions in trading path.
• Harden market data ingestion from providers such as Databento and venue-native feeds including staleness detection, failover, and replay.
• Build reconciliation and data-integrity tooling across live gauges, Postgres, and 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.

Skills

SRE experience

Go/Rust

Kubernetes

AWS

Observability

Linux networking

Incident response

Tools

Prometheus

Grafana

Datadog

Flux

SOPS

Postgres

Job description

Ondo Finance seeks an experienced SRE to own reliability for its real-time trading platform. You will read and modify Go and Rust code, debug latency issues, run incident response during market hours, and build automation to keep a 24/7 system healthy with a small team.

The role emphasizes Kubernetes on AWS, GitOps with Flux, and strong observability using Prometheus, Datadog, and dashboards. Remote work across the US is supported.