Software Engineer – Platform & Distributed Systems

Multiple roles open, from Junior to Senior

We're growing our platform engineering function and hiring across levels, from engineers early in their career to experienced distributed-systems specialists. If you're passionate about building the infrastructure that powers large-scale, high-performance computing environments, we want to hear from you.

Our platform team builds and operates the runtime environments, distributed services, and tooling that let engineers and researchers deploy, scale, and run their workloads reliably across global infrastructure. You'll work at the intersection of platform engineering, distributed systems, and high-performance computing, building the foundational services that thousands of internal users depend on every day.

What You'll Do

Design, build, and operate distributed services that manage compute workloads, deployment, and data access across large-scale infrastructure
Develop platform APIs and self-service tooling that improve the productivity of engineering and research teams
Own services end-to-end: from requirements gathering and design through implementation, deployment, and production operation
Partner closely with internal stakeholders to translate complex needs into scalable platform capabilities
Improve the reliability, scalability, and performance of compute-intensive workflows
Build and support solutions for scheduling, resource management, observability, and security
Turn recurring operational issues into lasting platform improvements
Balance trade-offs between latency, throughput, simplicity, scalability, reliability, and maintainability

What We're Looking For

Junior / Mid-level (roughly 1–3 years' experience)

Proficiency in Go, Python, or Java
Strong analytical skills and a genuine interest in solving complex problems programmatically
Experience with automated testing and CI/CD pipelines
Familiarity with Docker, Kubernetes, and Linux environments
Exposure to distributed computing and cloud-native software design
A DevOps mindset — comfortable working across the full application lifecycle
Strong communication skills and the ability to work with cross-functional teams

Senior (5+ years' experience)

BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience
Proven track record building and operating large-scale distributed systems in production
Strong proficiency in Python, C++, Java, Rust, or Go
Deep understanding of distributed systems, concurrency, performance, reliability, and fault tolerance
Experience designing platforms or infrastructure used by other engineers

Nice to have (any level)

Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments
Familiarity with GPU-accelerated workloads and 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
No prior background in financial markets is required - curiosity and a willingness to learn matter more

Why Join Us

Solve challenging distributed systems and infrastructure problems at real scale
Build platforms that directly accelerate the work of the teams and researchers you support
Take ownership of critical systems in a culture that values technical excellence, autonomy, and impact
Work alongside world-class engineers in a collaborative, technology-driven environment
Access to programs and initiatives supporting a healthy work-life balance

We are an equal opportunity employer and welcome diversity as essential to our success.

Contact: Ollie Chapman - ollie@tribusgrp.com

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