You will work with KDB+/q to design and optimize applications for real-time market data and build scalable infrastructure for research, analytics and trading workflows. You'll join a leading global hedge fund, partnering with Quantitative Researchers and Portfolio Managers to develop systems that directly impact investment processes.

Develop core eTrading MI & Analytics platform components using q and kdb+, with CI/CD, TDD/BDD, and an additional programming language. The platform captures, stores, and analyses over 3TB/5 billion daily records from electronic trading venues for risk, quant, trading, and sales stakeholders.

FactSet★3.8 (740)· London

Lead a global engineering team modernizing FactSet's financial platforms to cloud-native, AI/agentic architectures using microservices, APIs, and distributed systems. Oversee technology strategy for Capital Markets, Research Intelligence, Advisor & Client Intelligence, and Quantitative Analytics products serving investment professionals. Manage a globally distributed, multidisciplinary engineering organization, guiding architecture, CI/CD, and operational excellence.

Build and scale data pipelines for large video generation models using AWS S3, DynamoDB, Kubernetes, Python, and PyTorch. You will design annotation workflows across MTurk and Prolific, and train smaller supporting models for data filtering and quality assessment. Cantina Labs is a social AI company developing real-time character models.

You will work with C++, Rust, or Python to build a cloud-native EMS/OMS platform for commodities trading, using Kubernetes and Kafka-style messaging. The small engineering team designs and delivers a trading platform integrated with risk, pricing, and market data systems.

You'll build the iOS app for xAI's AI system designed to understand the universe and aid humanity in knowledge pursuit. Work with Swift, SwiftUI, UIKit, Combine, and optionally Rust, focusing on performance optimization, real-time AI model integration via REST/gRPC, and pixel-perfect UI design. You'll own features end-to-end in a small, flat-structured team prioritizing engineering excellence and speed.

You'll build Android mobile experiences for xAI's AI applications using Kotlin, Jetpack Compose, and reactive programming. You'll work on a small team creating cutting-edge AI products that deliver user impact, with opportunities to use Rust for backend integration. Strong product sense, ownership, and architectural expertise in large production apps are essential.

Backend software engineer building X Money, a global payment network serving 600+ million users. Develop microservices in Rust, Go, Python, or Java for high-scale, low-latency payments infrastructure, collaborating with iOS, Android, and web teams on payments, fraud detection, and compliance. Requires 2+ years large-scale consumer application experience; 5+ years or founding engineer background preferred.

You'll work with Rust, C++, or Go alongside Python, Linux/Windows systems, and virtualization technologies like cgroups, KVM, and gVisor. The Sandbox service team builds secure, scalable infrastructure that grants AI models safe, controlled access to computational environments for code execution, tool interaction, and reinforcement learning across xAI's training and product workloads.

You'll work primarily in Rust (or C++/Go) building xAI's API infrastructure that serves large language models to developers globally, handling billions of tokens per minute with low latency and high availability. Responsibilities span model serving, request routing, SDK development, rate limiting, observability, and scaling. You'll need expertise in distributed systems, databases like PostgreSQL and MongoDB, service reliability practices, and ideally experience with LLM inference engines like vLLM or TensorRT, plus Kubernetes and gRPC.

You'll build production backend infrastructure for xAI's API using primarily Rust, working on highly scalable distributed systems that power AI technology aimed at understanding the universe. Required expertise includes Rust or C++, distributed systems design, database management (PostgreSQL, Clickhouse, MongoDB), and service reliability practices. Preferred skills include Python, Kubernetes, gRPC, and LLM API experience.