Own and maintain the Java client library, ensuring robustness and ease of integration.
Design and develop high-performance server applications in C/C++ for low-latency market data.
Optimize codebase for high throughput and implement tools for petabyte-scale data processing.
Databento is the market data platform for modern finance, providing real-time and historical data across futures, options, and equities through a unified API. The company is composed of alumni from top quantitative firms and focuses on performance and reliability with a simple developer experience.
Own and maintain our C# client library for external users.
Design and develop high-performance server applications in C++.
Optimize codebase for high throughput and low latency.
Databento is the market data platform for modern finance, providing real-time and historical data across futures, options, and equities through a unified API. The team includes alumni of leading quantitative firms, indicating a strong engineering culture.
Design and architect the algo trading platform with deep knowledge in frontend, backend, databases, and distributed systems.
Write high-quality code and make critical decisions to deliver the best customer experience.
Work with low-level CPU hardware and concurrency for high throughput and availability.
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure company. The team is 380+ globally distributed members with a culture of curiosity, empathy, and accountability.
Develop, maintain, and optimize applications using C++ in a Linux-based environment.
Write clean, maintainable, and high-performance code aligned with software engineering best practices.
Test, debug, and deploy applications while ensuring system stability and reliability.
Jobgether uses AI-powered matching to streamline job applications for candidates. This posting is on behalf of a partner company, which manages all applications and next steps; the role is part of a collaborative and technology-driven environment.
Work on features to increase speed and functionality of trading infrastructure, including new algorithms and exchange integrations.
Play an active role in executing system architecture and roadmap, collaborating with Product Management.
Grow to become an expert in entire trading systems and use deductive reasoning to solve complex problems.
sFOX is a full-service prime dealer that unites liquidity from over 30 exchanges and OTC desks. Founded in 2014, the company is backed by prominent investors and has a rapidly growing team.
Contribute to end-to-end development of Network Monitoring features, from ideation to implementation within the Datadog Agent.
Build and maintain shared eBPF functionality for product teams and investigate complex production issues spanning kernel, eBPF, and agent runtime.
Research, prototype, and document solutions to hard problems in eBPF and network monitoring while providing technical input to product decisions.
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. Trusted by Fortune 500 companies and high-growth AI leaders, Datadog fosters an inclusive culture with continuous learning opportunities and comprehensive benefits.
Design, develop, and maintain software applications using modern C++ (C++17/C++20).
Optimize applications for performance, scalability, and memory usage while collaborating with architects and technical leads.
Participate in code reviews, resolve defects, and use AI-assisted development tools to improve software delivery.
Nagarro is a digital product engineering company that builds products, services, and experiences across all digital mediums. With over 18,000 experts across 39 countries, we have a dynamic and non-hierarchical work culture.
Build and scale mission-critical order and execution management infrastructure in Rust.
Design systems balancing low-latency execution, fault tolerance, and correctness across distributed trading workflows.
Translate evolving regulatory and market structure requirements into reliable, testable platform capabilities.
Clear Street is a diversified financial services firm modernizing the brokerage ecosystem with a cloud-native clearing and custody system. Founded in 2018, the company is a small, growing team with a meritocratic culture that champions collaboration.
Develop and optimize low-level kernels, runtime components, and system software for high-performance AI inference workloads.
Improve inference engine performance across GPU platforms by identifying bottlenecks and implementing advanced optimization techniques.
Profile, debug, and resolve system-level and hardware-level performance issues across CPU and GPU environments.
This position is listed on behalf of a partner company building cutting-edge AI infrastructure for large-scale inference platforms. They operate in a highly technical, international, and innovation-driven environment where engineering excellence and ownership are valued.