Software Engineer - Trading

Develop and maintain core components for a low-latency trading engine at Kraken, focusing on messaging solutions and system optimization. Top Skills: AeronC++DpdkPythonRdmaRustSimple Binary EncodingSQLUdpZeromq Tapestry - Coach and Kate Spade, Lead daily store operations to drive sales, profitability, and exceptional customer service. Recruit, coach, and develop a high-performing team; manage inventory, payroll, loss prevention, visual merchandising, scheduling, and local business plans. Serve as brand ambassador and ensure inclusive, results-driven store culture. Top Skills: Inventory Management SystemsLabor Management SystemsMS OfficeSales Reporting ToolsSocial Media Adyen

Operations Manager

Yesterday Easy Apply Remote or Hybrid Easy Apply Senior level Senior level Fintech * Payments * Financial Services Lead end-to-end delivery of complex global payments projects (POS, marketplace e-commerce), manage 5-10 concurrent initiatives, coordinate internal/external stakeholders, advise on product solutions, ensure smooth handovers and scalable BAU processes, and drive process improvements.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading). Who You Are (Must-Haves):

• Strong, experienced software engineer with lead experience is preferred
• Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python
• 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
• System design skills with object-oriented data modeling, service-oriented architectures, system abstraction
• Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)

Who You Might Be (Nice-to-Haves):

• Algo trading experience (either professional or personal)
• FIX protocol knowledge
• 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

• Competitive Salary & Stock Options
• Health 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.

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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 380+ 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.