Oracle Engineer

About the role

This Oracle Engineer role involves developing and maintaining the core oracle infrastructure for a leading DeFi trading desk. The work includes designing systems for ingesting data from multiple sources, building a high-performance data aggregation engine in Rust, and implementing a secure signing process using Hardware Security Modules (HSMs). The goal is to ensure data integrity and achieve low-latency submissions within the DeFi environment.

A key part of this position is architecting and maintaining a resilient infrastructure that operates across multiple sites. This includes setting up robust observability frameworks to monitor system performance and health. The successful candidate will contribute to mission-critical systems, ensuring their stability and reliability for quantitative trading operations.

The G-20 Group operates at the intersection of quantitative research, software engineering, and trading, combining a startup mindset with deep experience in proprietary trading and technology. This role is suited for someone who can contribute to a team focused on innovative solutions within cross-asset markets, leveraging their skills in low-latency systems and market data infrastructure.

The compensation for this role is between $144,000 and $250,000 USD annually.

Skills that matter here

• Rust: This role requires developing a high-performance aggregation engine and other system components using Rust.
• FIX protocol: Experience with the FIX protocol is relevant for understanding and processing market data feeds within the trading environment.
• HSM: The position involves implementing a secure signing pipeline through the integration and use of Hardware Security Modules.
• Redis Streams: Experience with Redis Streams is valuable for managing and processing data in real-time, contributing to the overall message streaming infrastructure.
• NATS JetStream: Knowledge of NATS JetStream is important for designing and maintaining robust message streaming systems within the oracle stack.

Who this role suits

• A candidate with a background in Computer Science, Engineering, Mathematics, or Data Science.
• Someone who has practical experience building and supporting mission-critical, low-latency systems.
• An individual who possesses strong communication skills, both written and verbal.
• A person with a solid understanding of statistical methods and their application in data-driven systems.

From the employer

• Design and operate a multi-source feed handler architecture for data ingestion.
• Develop a high-performance aggregation engine in Rust.
• Implement a secure signing pipeline using HSMs.
• Architect and maintain a resilient multi-site infrastructure.
• Establish comprehensive observability frameworks.

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related field.
• Strong written and verbal communication skills.
• Proven experience with Rust development.
• Hands-on experience with market data infrastructure.
• Experience in low-latency systems engineering.
• Practical experience with HSM integration.
• Expertise in message streaming systems.
• Experience supporting mission-critical systems.
• Strong practical knowledge of statistical methods.