Senior Software Engineer, Core Trading Platform

Alpaca

United States

Remote

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Stock options
Health benefits
Home-office setup $500
Monthly stipend $150 via Brex Card

Job summary

Alpaca, a US-headquartered, global leader in broker‑age infrastructure, is seeking an experienced software engineer to build and scale its algo trading platform. You will design and implement across frontend, backend, databases, and distributed systems to deliver high‑quality, high‑throughput experiences for millions of brokerage accounts.

Joining an early‑stage startup with strong cloud, container, and observability practices, you will influence architecture, performance optimizations, and

Qualifications

  • Seasoned software engineer with leadership experience.
  • Proficient in Go and C/C++ with low-latency optimization.
  • Experience with messaging queues and brokers.
  • Strong data-driven, analytical mindset.
  • Knowledge of distributed systems, scalability, and availability.
  • System design skills including OO data modeling and SOA architectures.

Responsibilities

  • Architect and build Alpaca's algo trading platform to deliver high performance.
  • Write substantial code across frontend and backend, networks and databases.
  • Make critical architectural decisions to ensure reliability and scale.

Skills

Lead experience
Go
C/C++
Low latency
Messaging queues
Data analytics
Distributed systems
Concurrency control
High availability
Databases
System design
OO data modeling
SOA
GCP
Docker
Kubernetes

Tools

GCP
Docker
Kubernetes

Job description

Alpaca, a US-headquartered, global leader in broker‑age infrastructure, is seeking an experienced software engineer to build and scale its algo trading platform. You will design and implement across frontend, backend, databases, and distributed systems to deliver high‑quality, high‑throughput experiences for millions of brokerage accounts.

Joining an early‑stage startup with strong cloud, container, and observability practices, you will influence architecture, performance optimizations, and

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