Alpaca
Software Engineer - Core Trading
Remote work allowed only within certain countries or regions.
North America, Europe
Employer listed it 7 days ago · Added 2 days ago
First listed 7 days ago and still open.
Salary
Not stated
Location
North America, Europe
Timezone
CET ±2
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $140k–$245k a year, a typical range taken from 591 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in North America, Europe.
What the employer says
- Source listing states candidate location: "Remote - Americas or EU, Remote - European Time Zones, Remote - Global - Eastern Time Zone, Remote - North America"
- Job description states: "USA, Canada, Japan"
What Nomaders makes of it
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Your job is to build Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service. This opportunity is similar to joining AWS or Heroku in their early days, designing and architecting our platform by wearing many different hats in our small team. As an experienced engineer, you will write tons of code and make critical decisions about delivering the best experience to our customers. This certainly requires deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind. Joining an early stage startup, the payoff to this highly demanding environment will be worth the effort. Who You Are (Must-Haves):
Strong, experienced software engineer with lead experience is preferred
Coding skills in both low and high level languages around Go, C/C++
Low latency and high throughput optimization
Experience with messaging queues and message brokers
Analytical data-oriented mindset and skills
Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
Experience with highly scalable distributed low latency systems.
System design skills with object-oriented data modeling, service-oriented architectures, system abstraction
Who You Might Be (Nice-to-Haves):
Algo trading experience (either professional or personal)
Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)
FIX protocol knowledge
Experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading)
Experience with observability, tracing, continuous profiling and benchmarking
Financial market (exchange, broker-dealers, clearing, etc.) knowledge
Experience with financial ledgers
Statistical and quantitative analysis skills
Experience with major cloud platforms (we primarily use GCP)
Experience with Docker and Kubernetes
Requirements
- ·Low latency and high throughput optimization
- ·Experience with messaging queues and message brokers
- ·Analytical data-oriented mindset and skills
- ·Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
- ·Experience with highly scalable distributed low latency systems.
Benefits
- ·New Hire Home-Office Setup: One-time USD $500
- ·Monthly Stipend: USD $150 per month via a Brex Card
- ·Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
- ·Recruitment Privacy Policy
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Alpaca, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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Typically $140k to $245k per year · You'll be taken to the employer's careers page.