Algo Engineer

We believe the financial markets can and should work for everyone. Capitolis is the technology company helping to create safer and more vibrant financial markets by unlocking capital constraints and enabling greater access to more diversified capital and investment opportunities. Rooted in advanced technology and deep financial expertise, Capitolis powers groundbreaking financial solutions that drive growth for global and regional banks – and institutional investors alike. Capitolis is backed by world class venture capital firms, including Canapi Ventures, 9Yards Capital, SVB Capital, Andreessen Horowitz (a16z), Index Ventures, Sequoia Capital, Spark Capital, and S Capital, as well as leading global banks such as Barclays, BNP Paribas, Citi, J.P. Morgan, Morgan Stanley, Standard Chartered, State Street and UBS.

Founded in 2017, our team brings decades of experience in launching successful startups, technology, and financial services. Capitolis was recognized on the Inc. 2024 Best in Business list in the Financial Services and Innovation & Technology categories, and honored for the third consecutive year in the 2025 Euromoney Foreign Exchange Awards . The company has been included on CNBC’s World's Top Fintech Companies list for the past three years, Deloitte’s Technology Fast 500 list in consecutive years and was named to Fast Company’s prestigious annual list of The World’s Most Innovative Companies for 2023. American Banker recognized Capitolis among the Best Places to Work in Fintech , and the company was named by Crain’s New York Business as one of New York City’s Best Places to Work in 2025 for the fourth consecutive year. For more information, please visit our website at or follow us on LinkedIn .

Role Description

Capitolis is looking for a Python Software Engineer with proven ability to design and deliver enterprise-grade technology solutions to join our Algorithms team. Capitolis’ algorithms are at the heart of everything we do. Our products solve intricate problems impacting trillions of dollars a year, improve the health of the global financial system, and help us redefine what is possible for financial institutions, hedge funds, and asset managers. In this role you would join a fast-growing team solving the largest, most complicated problems in capital markets. With our rapid expansion into new businesses, you will have the opportunity to solve fresh problems and build innovative software that scales the business.

As a Python Software Engineer, you will contribute to the design and implementation of core company services, tools, and infrastructure using your proven abilities with algorithms and data structures. You are a generalist comfortable working across a Python backend and AWS stack and have a strong quantitative background.

Responsibilities

• Work with Product Owners and SMEs to understand application capabilities and implement technical solutions


• Productionize, scale, and deploy complex financial algorithms


• Take part in designing the framework for the company’s core products


• Work on our distributed worker queue system


• Demonstrate solutions through documented designs and prototyping


• Conduct design and code reviews to ensure technology standards and best practices are met


• Responsible for the continuous maintenance and modernization of our codebase, ensuring enterprise-grade quality, stability, and performance

Requirements

• 1 or more years of Python Software Engineering experience, with strong Object-Oriented Programming expertise


• Solid understanding of algorithms and data structures (competency required, though not the primary focus)


• Demonstrated experience in building enterprise-grade applications, APIs, or data platforms


• Proven ability in architecting scalable, maintainable, and performant Python systems


• Extensive experience working in a test-driven, agile development environment


• Strong interpersonal and collaborative skills


• Excellent communication skills and experience working directly with business stakeholders


• Ability to multi-task and balance multiple priorities and deadlines


• Bachelor’s degree in Computer Science, Software Engineering, or a related engineering field

Desired

• Advanced degree in Computer Science or related field


• Experience with optimization frameworks (e.g., Gurobi, OR-Tools)


• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and modern DevOps practices


• Experience with AWS and PostgreSQL is a plus


• Financial Markets experience and/or knowledge of derivatives products and markets

The target annual base salary range for this position is $135,000 – $145,000 and is dependent on a variety of factors, including, but not limited to, job-related experience, qualifications, knowledge, and skills. In addition to base salary, the compensation package for this role includes an annual discretionary bonus and company equity. This role is also eligible to participate in company-sponsored benefits and perks.

Our Company Values

We operate with a clear set of values that guide us — our way of being, decisions, and actions. These values define who we are, and we are committed to all of them. These values are uniquely ours. If these values — all of them — speak to you, this is an amazing place, but we are not for everyone. Learn more about our Company Values here .

• We lead with purpose, while creating exceptional value


• We pursue big breakthroughs, responsibly


• We learn from the best and are unapologetically independent


• We are obsessed with the future and fanatical about executing today


• We play tough, with heart

Our People Attributes

Our People Attributes are characteristics that describe the DNA of Capitolis employees. They provide a consistent framework to hire, assess, and develop our team against. Learn more about our People Attributes on our careers page here .

• Super Smart: quality thinking and know what good looks like


• Badass: all in, get stuff done, and high standards


• Good Human: collaborative, open-minded, authentic and real, and pursue self-actualization