Qualifications
-Master’s in Computer Science (or equivalent experience).
-4 + years building and operating large-scale or distributed systems.
-Strong software-design instincts: modular code, tests, CI/CD, observability.
-Fluency in Python plus one systems language (C++, Rust, Go or Java).
-Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar).
-Comfortable profiling performance, optimising I/O, and automating workflows.
-Self-starter, low-ego, collaborative, high-energy.
Nice-to-haves
-Exposure to ML workloads or data-processing pipelines.
-Experience with GPU clusters or CUDA.
-Open-source contributions or widely used internal tools.