Senior Software Engineer

Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 60 employees, operating remote-first with a home base in New York City.

Use Python System Development Kit (SDK) to automate and scale simulation models for deployment on cloud infrastructure.
Develop scalable Extract, Transform, and Load (ETL) pipelines for analyzing public blockchain data and simulation results.
Design and implement a Python SDK that interfaces with Gauntlet’s C++ simulation engine.
Implement algorithms related to monetary transaction evaluation, risk management, income verification, and other predictive models.
Work directly with Gauntlet customers to create simulation models that fulfill clients’ business needs.
Build static analysis tools and agent-based simulations for smart contracts using Python, Rust & C++.
Provide technical solutions to scaling backend systems, databases, and infrastructure that can scale to deployment on our platform using Python Google Cloud Platform.
Develop and enhance existing software systems, applications, and infrastructure to support the scaling of our platform to run all of our products using performance analysis with Python, Rust & C++.
Act as technical lead to create new technology solutions for scaling our developer tools, perform health checks of our application APIs, and ensure our platform's core data sets are standardized and accurate.
Ensure our Google Kubernetes engine orchestrates production-level code well.
Eligible to work remotely within the continental United States 100% of time.

Bachelor’s degree (or foreign equivalent) in Computer Science, Physics, or closely related
field.
Minimum 2 years using Python, Rust, or C++ to develop software systems, applications and infrastructure.
Min 1-year using cloud infrastructure tools for scaling infrastructure.
Min 1 year scaling backend systems using Python to be cost efficient perform reliable batch or streaming computations.