Significant programming experience in Python
Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar
Experience designing and executing system-level tests: functional, stress, performance, or regression testing
Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar)
Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions
Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems
Experience with Linux systems administration and automation
Solid background with git
Well-organized, self-starting and able to deliver to fixed schedules
Professional written and spoken English with excellent communication skills
Ability to travel twice a year, for company events up to two weeks each
Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses)
Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage)
Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF)
Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow
Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing
Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation)
Experience with Ubuntu/Debian packaging or Snap
Knowledge of virtualization technologies (KVM, QEMU) and container runtimes
Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack)
Prior involvement with open source testing communities or projects