Senior Software Engineer - Research Platform (Distributed Systems & HPC)

Who We Are

Our client is a global quantitative hedge fund operating across major liquid asset classes worldwide. Technology and research sit at the core of the business, with platform engineering teams building the infrastructure that enables large-scale quantitative research, high-performance computing, and data-driven innovation across global markets.

The Research Platform team develops the foundational systems researchers depend on every day, spanning distributed computing, workload orchestration, observability, security, and platform tooling.

We welcome applicants from across the globe. Relocation support will be provided for suitable candidates.

We Are Seeking: Software Engineer - Research Platform

This role sits at the intersection of distributed systems, platform engineering, and high-performance computing.

You will design and build the services, tooling, and infrastructure that power large-scale research workloads, helping researchers run compute-intensive jobs efficiently, reliably, and securely across a global platform.

Experience working with large-scale distributed systems, internal developer platforms, HPC environments, or other performance-sensitive environments is highly valued.

Key Responsibilities

• Design, build, and operate distributed services supporting compute workloads and data access
• Develop platform APIs and tooling that improve researcher productivity
• Improve the scalability, reliability, and performance of research infrastructure
• Build solutions for scheduling, resource management, observability, and security
• Partner with researchers and infrastructure teams to deliver platform capabilities
• Take ownership of systems from design through production operation

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Requirements

• 5+ years of experience building and operating distributed systems in production
• Strong programming skills in C++, Java, Rust, Go, or similar systems languages
• Strong understanding of:
• Distributed systems
• Concurrency
• Reliability
• Fault tolerance
• Performance engineering
• Experience building platforms, services, or infrastructure used by other engineers
• Strong problem-solving and system design capabilities

Highly Relevant Experience

• Internal developer platforms or platform engineering
• Cloud infrastructure and orchestration technologies
• High-performance computing (HPC) environments
• GPU-accelerated workloads
• PyTorch, TensorFlow, or similar ML frameworks

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• Supporting researchers, data scientists, or highly technical users
• Quantitative finance or large-scale data-intensive environments

What We're Looking For

• Strong systems thinker who enjoys solving complex infrastructure problems
• Engineer comfortable working at scale across distributed environments
• Ownership mentality and passion for engineering excellence
• Strong collaborator who can translate technical requirements into practical solutions
• Interest in building platforms that enable other engineers and researchers to succeed

Why Join Us

• Solve challenging distributed systems and platform engineering problems
• Build infrastructure that directly accelerates research and innovation
• Work alongside world-class researchers and engineers
• Own critical systems in a highly technical, performance-driven environment
• Exposure to HPC, distributed computing, and large-scale research platforms

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