What we need to see: B.Sc. degree or equivalent experience in Engineering/Computer Science/related field 8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence Experienced with developing software testing tools and tests infrastructure Strong Python programming skills; experience building production-quality automation frameworks and tooling Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent) Hands-on experience with LLMs or AI-assisted developer tooling — building, integrating, or productizing AI capabilities in an engineering workflow Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions Ways to stand out from the crowd: Deep Linux expertise: system internals, networking stack, process management, and scripting Prior experience building LLM-powered test analysis pipelines or AI-enhanced DevOps tooling in a real production environment Knowledge of networking protocols and hardware: Ethernet switching, L2/L3 protocols, QoS, VLANs, high-performance data center networking Experience with code coverage instrumentation in large-scale C/Python codebases and using coverage data for test prioritization Track record of measurably improving regression runtime, test reliability, or CI throughput in a complex embedded or systems software environment
