Senior Backend Engineer Algorithmic Systems - FULLY REMOTE

We are seeking a Senior Backend Engineer with strong quantitative skills to design, maintain and scale advanced algorithmic systems. You’ll build predictive models, optimize real-time decision engines, and ensure low-latency, production systems.

Responsibilities

Architect, build, and maintain backend services for real-time algorithmic decision-making

Implement and optimize complex predictive models, pattern recognition and statistical algorithms

Own solutions end-to-end: from concept to production-grade systems

Collaborate closely with researchers to translate models into scalable code

Continuously learn and apply new technologies and quantitative methods

Qualifications

Degree in Math, Statistics, Physics, Computer Science, or another highly quantitative field

3+ years of backend engineering experience (Python, Go, Java, or similar)

Fluency in Python is required (not necessarily expert, but comfortable and capable)

Capable of quickly understanding, modifying, and extending existing complex codebases you did not write

Versatility to operate as both a “hacker” (fast prototyping) and “engineer” (production-ready solutions)

Proficiency with Python packages (NumPy, Pandas, matplotlib) and R packages (xts, data.table, mlr, caret)

Familiarity with Rust a strong plus

Solid foundation in probability and statistics, with exposure to methods such as time-series analysis, machine learning, pattern recognition, NLP, AI, or neural networks

Experience working with large datasets and applied research projects

Comfortable with Linux environments and backend/systems code

Why Join Us

Small, fast-moving team

Flexible work arrangements; culture of ownership and innovation

Performance-based bonus compensation

How to Apply

Send your resume, GitHub/portfolio links, and a short note on why this role excites you

LEVEL OF EXPERTISE

Python - 3 years

API Development - 3 years