Full Stack Developer (Low Latency Systems)

Join our innovative financial technology startup as a Full Stack Developer, where you'll design, implement, and optimize low-latency, high-performance systems while also working with data pipelines and database performance tuning. We're looking for a versatile engineer who thrives in a fast-paced environment and can adapt to shifting requirements across different parts of the stack—from real-time processing to quant work and front-end development.

What You’ll Do:

• Design and build scalable, low-latency systems with high throughput across the entire technology stack.
• Develop and optimize real-time, performance-critical components using C++
• Implement robust data engineering pipelines, ensuring efficient data processing and storage.
• Create responsive, user-friendly interfaces with modern JavaScript frameworks (e.g., React, TypeScript).
• Build, monitor, and tune databases for optimal performance (e.g., PostgreSQL, Redis).
• Adapt to changing project needs—pivot between backend, frontend, data engineering, and quant-related tasks.
• Continuously improve system performance, focusing on reducing latency and increasing throughput.
• Collaborate with team members to build a well-architected, scalable system.
• Collaborate with quants, traders, and fellow engineers to implement and backtest trading algorithms.

Key Requirements:

• 5+ years of experience in full stack development.
• Strong proficiency in C++ and/or Rust, especially for building low-latency, high-throughput platforms.
• Experience with Python for data engineering tasks, including working with large datasets and performance tuning databases.
• Solid understanding of modern web technologies (e.g., JavaScript, TypeScript, React, Node.js).
• Expertise in building and maintaining microservices and APIs for real-time data processing.
• Experience with cloud platforms (AWS, GCP, Azure) and optimizing their low-latency offerings.
• Familiarity with database systems and performance tuning (e.g., PostgreSQL, Redis).

Nice to Have:

• Experience with financial markets, trading systems, or quant strategies.
• Knowledge of time-series databases (e.g., InfluxDB, TimescaleDB).
• Understanding of machine learning algorithms and frameworks.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with data governance, security, and privacy best practices.
• What We’re Looking For:
• Polyglot developers who can work with multiple languages but have deep expertise in at least one (C++/Rust or Python preferred).
• Adaptable, fast learners who are comfortable with changing project needs and requirements.
• Problem-solvers who can think critically about performance optimization across the stack.
• Strong communicators who can work collaboratively in a fast-paced startup environment.
• Passion for both system-level optimizations and data engineering challenges.
• Experience with Quant Trading.

What We Offer:

• The chance to work on cutting-edge technology with direct impact on the fintech space.
• A flexible and dynamic startup environment where you can grow and innovate.
• Opportunities for professional development and continuous learning.