Senior Backend Engineer

What You'll Do: Design and build high-throughput, low-latency backend services for order routing, execution, and risk management Develop and productionise ML/AI models for predictive risk scoring, adverse-selection detection, and order-fill optimisation Build and maintain real-time data pipelines processing millions of market events per second Architect scalable microservices deployed across multi-region cloud infrastructure Integrate with FIX protocol, MT4/MT5 bridges, and third-party liquidity provider APIs Participate in on-call rotations and own system reliability for critical trading infrastructure Mentor junior engineers and lead technical design reviews Contribute to our AI Risk Management platform — one of Spencer Logic's most strategic products

Requirements: 6+ years of backend engineering experience with production-scale distributed systems Strong proficiency in Go, Rust, Java, or C++ (low-latency experience preferred) Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn) in production Deep understanding of stream processing (Kafka, Flink, or equivalent) Experience with financial systems, trading protocols (FIX), or order management systems Solid grasp of database internals — TimescaleDB, Redis, PostgreSQL Strong understanding of concurrency, memory management, and performance profiling Experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) AI / ML Experience (Required) Designing and shipping ML models for real-time inference in latency-sensitive environments Feature engineering from tick-level market data and order-book snapshots Model monitoring, drift detection, and retraining pipelines in production Experience with reinforcement learning or time-series forecasting is a strong plus Nice to HaveExperience with MetaTrader (MT4/MT5) bridge integrations Knowledge of FX/CFD/crypto market microstructure Contributions to open-source trading, quant, or ML projects Role SummaryLocation New York, NY / Remote Type Full-time Reports to VP Engineering Compensation$180K – $240K base Equity participation Annual learning budget