Mid Level Oracle Engineer

About G-20

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance.

Role Overview

We arehiring an experiencedOracleEngineer tojoin our team,aleading DeFi deskin the sector. In this role you willhave end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located datacentres, low-latency aggregation, hardware-secured signing, and on-chain submission.

This functionoperateswithin a zero-tolerance environment, where the integrity and accuracy of price submissions are critical.

Key Responsibilities

• Low-Latency Data Ingestion: Design andoperatea multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways.
• Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency.
• Cryptographic Signing & Submission: Implement a secure signing pipelineleveraginghardware security modules (HSMs) to ensure private keysremainwithin tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission pathwith minimal network latency.
• Failover & High Availability: Architect andmaintaina resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-secondtimeframeswithout dataloss, andimplement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity.
• Monitoring & Incident Response:Establishcomprehensive observability frameworks, including real-time monitoring of oracle latency, data source health, and quorum integrity. Implement automated circuit breakers to halt operations under degraded conditions and integrate with a 24/7 incident response and alerting system with clearly defined service level agreements.

Requirements

• Bachelorsdegree(minimum)inComputer Science, Engineering, Mathematics, Data Science,or a related field,top-tier university preferred
• Strong written and verbal communication skills
• Rust Development:Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver andmaintainhigh-performance Rust applications in live environments.
• Market Data Infrastructure:Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates.
• Low-Latency Systems Engineering:Experience designing and operating low-latency systems within co-located datacentreenvironments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design.
• HSM Integration:Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards.
• Message Streaming Systems:Expertisein high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent.
• Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions.
• Statistical Methods:Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation.

Preferred / Desirable Experience

• Blockchain Oracle Systems: Experience building or operating oracle systems (e.g.,Chainlink,Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting.
• Real-Time API Infrastructure: Experience developing high-throughput WebSocket andgRPCservices for latency-sensitive applications such as trading systems or AI agents.
• Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration.
• Traditional Finance Market Microstructure:Understanding ofglobal market microstructure, including trading hours, session boundaries, after-hourspricing, and weekend gap dynamics across asset classes.

Location andRighttowork:This role willpreferablybe based inourZurichofficebut could alternatively be based out of our London, New York,Chicagoor Hong Kongoffices. Only candidates whopossessthe pre-existing right to work inone of the locations abovewithout needing company sponsorship needapply.

Join G-20Groupand be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.