Software Engineer - Distributed Systems and Kubernetes

Software Engineer – Batch Compute (Distributed Systems and Kubernetes)

Dallas (Hybrid) - VIP relocation package on offer.

A leading, well-funded quantitative research and technology firm is looking for a Software Engineer to join a team building and running a large-scale, high-performance batch compute platform.

You’ll be working on modern Kubernetes-based infrastructure that powers complex research and ML workloads at serious scale, including contributions to a well-known open-source scheduling project used for multi-cluster batch computing.

What you’ll be doing

• Building and developing back end distributed systems primarily in Go (Python, C++, C# backgrounds are fine)

• Working on large-scale batch scheduling and distributed systems on Kubernetes

• Operating and improving HPC-style workloads, CI/CD pipelines, and Linux-based platforms

• Optimising data flows across systems using tools like PostgreSQL

• Debugging and improving performance across infrastructure, networking, and software layers

What they’re looking for

• Strong software engineering background with an interest in Kubernetes and batch workloads

• Experience with Kubernetes internals (controllers, operators, schedulers)

• Exposure to HPC, job schedulers, or DAG-based workflows

• Familiarity with cloud platforms (ideally AWS), observability tooling, and event-driven systems