Backend Engineer (Distributed Systems and Kubernetes) (Dallas)

Software Engineer Batch Compute (Kubernetes / HPC)

Dallas (Hybrid) | 💼 Full-time

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.

Youll 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 youll be doing

Building and developing backend services, 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 theyre 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

Why its worth a look

Market-leading compensation plus bonus

Hybrid setup from a brand-new Dallas office

Strong work / life balance and excellent benefits

Generous relocation support if needed

The chance to work at genuine scale on technically hard problems

If youre interested (or know someone who might be), drop me a message and Im happy to share more details anonymously.