Senior Engineer

Equiti is seeking talented individuals to join a dynamic and innovative working environment as a Senior Backend Engineer within the Quant Platforms department. This role involves designing, building, and maintaining C#/.NET 8+ backend services for quant, trading, risk, and analytics use cases. Responsibilities include implementing and optimizing quant logic, developing real-time and batch components with a focus on correctness and performance, and collaborating with quants and analysts to productionize models. The engineer will work extensively with SQL, ClickHouse, and MongoDB, and deploy/operate services in Azure using AKS (Kubernetes). This position requires participation in code reviews, architecture discussions, and continuous improvement of engineering standards.

Responsibilities:

• Design, build, and maintain C#/.NET 8+ backend services for quant, trading, risk, and analytics use cases.
• Implement and optimize quant logic (time-series calculations, signal/feature computation, PnL and exposure, statistical metrics).
• Develop components for real-time and batch operations, prioritizing correctness, performance, and resilience.
• Collaborate with quants and analysts to productionize models, transforming research outputs into scalable, testable, and observable services.
• Utilize SQL, ClickHouse, and MongoDB, optimizing queries, schemas, and data access patterns.
• Deploy and operate services in Azure using AKS (Kubernetes), contributing to CI/CD, monitoring, and reliability practices.
• Participate in code reviews, architecture discussions, and enhance engineering standards.

Requirements:

• Strong experience building backend systems with C# and .NET 8+.
• Experience in quant development or a similar analytics-heavy domain (trading, risk, pricing, time-series).
• Excellent fundamentals in data structures, algorithms, and numerical reasoning.
• Comfort with time-series and event-driven workloads and performance constraints.
• Strong database skills: SQL, analytical stores (ideally ClickHouse) and/or MongoDB.
• Ownership mindset for end-to-end delivery from design to production support.
• Experience with languages like Python, Go, or Rust is a plus.
• Knowledge of trading systems (market data, execution, pricing, risk) in a fintech/brokerage context.
• Experience bridging Python research with production .NET services.
• Familiarity with streaming or messaging technologies (Kafka, RabbitMQ, etc.).
• Strong observability/SRE practices (metrics, tracing, logging, alerting).

Skills:

• .NET 8+ / C#.
• SQL, ClickHouse, MongoDB.
• Azure, AKS (Kubernetes).
• CI/CD, automated testing, monitoring and alerting.