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Senior Software Engineer Prime
Alpaca
1 day ago
0 views
Remote
Full time
Senior Level
Competitive
Required Skills
Job Description
Who We Are:
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.
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 9 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 top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 230+ 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 valuesâStay Curious, Have Empathy, and Be Accountableâand 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 meet our users' expectations for high quality and performance in 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 modelling with long-term growth in mind. Joining an early-stage startup, the payoff to this highly demanding environment will be worth the effort.
You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading).
Requirements:
Strong, experien
Please mention the word **AWED** and tag RNS43OC45NS4yMzA= when applying to show you read the job post completely (#RNS43OC45NS4yMzA=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.
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 9 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 top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 230+ 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 valuesâStay Curious, Have Empathy, and Be Accountableâand 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 meet our users' expectations for high quality and performance in 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 modelling with long-term growth in mind. Joining an early-stage startup, the payoff to this highly demanding environment will be worth the effort.
You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading).
Requirements:
Strong, experien
Please mention the word **AWED** and tag RNS43OC45NS4yMzA= when applying to show you read the job post completely (#RNS43OC45NS4yMzA=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.