About the Role
You will be responsible for developing a scalable, low-latency trading platform that meets institutional-grade performance standards. Working in a small, multidisciplinary team, you'll contribute across the stack, from hardware-level optimization to distributed system architecture, while making key decisions that directly impact customer experience and platform reliability.
Responsibilities
- Develop and enhance the algorithmic trading platform to meet high performance and quality expectations of brokerage users.
- Lead platform design and architecture initiatives while adapting to multiple roles within a small engineering team.
- Produce extensive code and make pivotal decisions to ensure optimal customer experience and system reliability.
Requirements
- Proven track record as a software engineer with leadership experience preferred.
- Proficiency in both low-level and high-level programming languages including C/C++, Go, Zig, Rust, Java, Scala, and Python.
- Demonstrated expertise in optimizing for low latency and high throughput.
- Hands-on experience with messaging queues and message brokers.
- Strong analytical and data-driven problem-solving abilities.
- Solid understanding of algorithms, distributed systems, scalability, high availability, databases, concurrency control, and low-latency systems.
- Skilled in system design, including object-oriented modeling, service-oriented architectures, and system abstraction.
- Direct experience building and deploying Order Management Systems (OMS) and Risk Management Systems (RMS).
Nice to Have
- Background in algorithmic trading, either professionally or through personal projects.
- Familiarity with the FIX protocol.
- Experience implementing observability tools, distributed tracing, continuous profiling, and benchmarking frameworks.
- Knowledge of financial markets, including exchanges, broker-dealers, and clearing processes.
- Experience working with financial ledger systems.
- Skills in statistical and quantitative analysis.
- Cloud platform experience, particularly with Google Cloud Platform (GCP).
- Proficiency with containerization and orchestration using Docker and Kubernetes.
Work Arrangement
Remote (Worldwide) — available to candidates in USA, Canada, Japan, Hungary, Nigeria, Brazil, UK
Who We Are
The company is a US-based, self-clearing broker-dealer offering brokerage infrastructure for equities, ETFs, options, crypto, fixed income, and 24/5 trading. It has raised over $320 million in funding and operates institutional-grade APIs used by hundreds of financial institutions across 40 countries, including broker-dealers, wealth managers, hedge funds, and crypto exchanges, serving more than 9 million brokerage accounts. The team comprises experienced engineers, traders, and financial professionals committed to democratizing access to financial services. It actively contributes to open-source projects, maintains a developer-first API, and is backed by leading global investors such as Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.
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
