Software Engineer

Siza- Buso ConsultingNew York, NY
Onsite

About The Position

We are building core financial infrastructure for the fastest-growing crypto derivatives exchange in the world. Our focus is Multi-Asset Margin, enabling traders to post variable forms of collateral without liquidating positions. This is foundational, high-stakes infrastructure where performance, precision, and reliability are paramount. The Role is within the Infrastructure & Platform team, focusing on scalable, high-performance systems across compute, storage, and networking, working closely with the product team to deliver infrastructure that never blinks.

Requirements

  • Rust is non-negotiable — you are a strong, practised low-level developer with Rust at your core
  • 3+ years building production-grade infrastructure at a reputable, established company with real scale
  • Hands-on experience managing compute instances (e.g. EC2) and/or container orchestration (e.g. Docker, Kubernetes)
  • Solid networking fundamentals — VPCs, load balancers, NAT, VPN, and network security
  • Able and willing to work fully on-site, 5 days a week in NYC, San Francisco considered.
  • Authorized to work in the United States

Nice To Haves

  • Experience with CI/CD tools (e.g. Jenkins, GitHub Actions) and infrastructure as code (e.g. Terraform, CloudFormation)
  • Familiarity with time-series databases (e.g. TimescaleDB, InfluxDB) and key-value stores (e.g. DynamoDB, Redis)
  • Experience profiling and optimizing low-level system performance under high load

Responsibilities

  • Write low-level, production-grade code in Rust for services that demand speed and reliability in real-time environments
  • Deploy and manage compute resources and containers for custom services and integrations
  • Automate scaling, load balancing, and congestion control across compute and database layers
  • Build and maintain CI/CD pipelines for automated deployment, rollback, and continuous delivery
  • Monitor and tune system performance across CPU, memory, I/O, and network for maximum throughput and resiliency
  • Build indexing and explorer services to enable live, fast, and expressive data channels
  • Provision and optimize databases across time-series, relational, key-value, and in-memory workloads
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