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Fintech Rust Developers in London

Leads backend architecture for a production trading platform handling real user funds, with single-writer state, idempotent workflows, atomic settlement, and fail-closed reliability controls. Builds low-latency Rust services using Tokio and Axum, including real-time gRPC and WebSocket data pipelines.

• Normalized multi-source market data with freshness handling
• Designed bounded-channel backpressure and workload-isolated job queues
• Operated PostgreSQL, Redis, ClickHouse, Kafka, and Flink systems
• Developed Solana programs for on-chain transaction workflows

Architected electronic trading systems for FX and digital assets, including exchange connectivity, FPGA market-data adapters, trade capture, portfolio management, and risk controls. Also developed online machine-learning systems under extreme latency constraints and transactional platforms requiring extensive auditability and correctness.

• Embedded Rust for performance-sensitive devices
• OTC pricing and streaming infrastructure
• PostgreSQL trade-booking database design
• Mechanical-sympathy low-latency architecture

Contributed more than 32,000 lines of production Rust across a terminal coding agent, GPU tooling, and a server operating system. Fixed terminal event races and keybinding behavior while implementing Linux subprocess sandboxing and session-management features.

• CUDA-oriented Rust contributions
• Server OS development
• Open-source pull-request leadership
• Competitive programming performance

Led development of distributed systems using Rust and Java, focusing on high concurrency. Spearheaded integration testing frameworks in Python to enhance system reliability.

• Built distributed systems in Rust and Java
• Focused on high concurrency solutions
• Led Python integration testing frameworks

Led the development of blockchain solutions using Rust and Solana, focusing on cross-chain interoperability. Implemented AI agents for automated contract execution.

• Developed smart contracts for decentralized applications
• Integrated blockchain solutions with existing financial systems
• Optimized transaction throughput on blockchain networks

Led a team in designing a distributed system for high-frequency trading platforms using Rust and C++. Developed a cross-language communication protocol leveraging Python and Kotlin for data interchange.

• Engineered C-based embedded systems for IoT devices
• Optimized C++ algorithms for computational efficiency
• Integrated Kotlin with backend services for seamless operations

Built scalable full-stack applications using React.js and Node.js, focusing on modern web architectures. Integrated Vue.js for dynamic user experiences in enterprise applications.

• Deployed serverless functions to optimize resource usage
• Engineered real-time communication features with WebSockets
• Utilized Python for backend data processing

Engineered financial trading systems with Rust and Perl for low-latency execution. Developed network protocols for high-frequency trading. Implemented FIX and OUCH protocol integrations.

• Engineered financial trading systems
• Developed network trading protocols
• Implemented FIX and OUCH integrations

Designed and implemented decentralized applications using Solana SDK and Anchor Framework. Developed complex smart contracts with account abstraction for high-performance blockchain systems.

• Optimized transaction processing on Solana networks
• Integrated Rust-based smart contracts with existing blockchain ecosystems
• Led development of a scalable blockchain analytics tool

Engineered high-performance database systems optimized for complex query processing. Designed user-centric web applications with responsive interfaces and robust back-end architectures.

• Integrated caching solutions to reduce database latency
• Developed RESTful APIs for seamless client-server interaction
• Implemented real-time data synchronization across distributed systems

Designed quantitative trading algorithms using Python and Rust, focusing on low-latency execution. Developed financial data analysis tools to support trading strategies.

• Built high-frequency trading systems with Go
• Implemented risk management modules in C#
• Optimized data ingestion pipelines for real-time analytics

Developed Linux kernel modules in C for enhanced system performance. Built network monitoring tools in Rust for real-time diagnostics.

• Implemented C++ algorithms for embedded systems
• Automated Python scripts for system maintenance
• Developed Bash utilities for server management

Engineered real-time AI sign-language video pipelines using Go and Rust, processing SRT and RTMP inputs through audio extraction and AWS MediaLive into low-latency HLS and DASH delivery. Implemented CMAF workflows with fragmented MP4, dual manifests, reconnection handling, and Kubernetes deployment.

• Picture-in-picture live composition
• LL-HLS and DASH packaging
• FFmpeg media-processing pipelines
• Terraform-managed AWS infrastructure

Built data pipelines using SQL and Snowflake for large-scale data analysis. Developed containerized applications with Docker and Podman, enhancing deployment efficiency.

• Integrated R for statistical data analysis
• Optimized Python scripts for data transformation
• Developed scalable data solutions for enterprise needs