Senior Software Engineer - Research Platform

2 мес. назад

FranceEuropeSenior

distributed systemshigh-performance computingapi developmentplatform toolingschedulingresource managementobservabilitysecurity

Build and operate distributed platform services for quantitative research workloads at QRT.

Будет плюсом

Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments
Familiarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow
Experience supporting researchers, data scientists, or other highly technical users
Exposure to quantitative finance or large-scale data-intensive environments
 
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Другое

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
This role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will build and operate the foundational services that quantitative researchers rely on every day, including workload orchestration, scheduling, security, observability, and platform tooling.
Design, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure
Develop platform APIs and tooling that improve the productivity of quantitative researchers
Improve the reliability, scalability, and performance of compute-intensive research workflows
Build solutions for scheduling, resource management, observability, and security
Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities
Take ownership of systems end-to-end, from design and implementation through production operation
Bachelor's, Master's, or PhD degree in Computer Science or a related field, or equivalent practical experience
5+ years of experience building and operating large-scale distributed systems in production environments
Strong proficiency in C++, Java, Rust, Go, or other systems programming languages
Deep understanding of distributed systems, concurrency, performance optimization, reliability, and fault tolerance
Experience designing and operating services, platforms, or infrastructure used by other engineers