Software Engineer - Verification and Reliability

Software Engineer - Verification and Reliability The Mission WEKA is building NeuralMesh - the world's first intelligent, adaptive mesh storage system. To ensure our platform is unbreakable for the world's largest AI and GPU clusters, we build robust validation and reliability tooling as a core engineering discipline. What Youll Build: Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks. AI-Augmented Validation: Be at the forefront of the AI-Native transformation . You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity. Simulation Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations. Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams. Collaborative Architecture: You will operate with the same rigorous standards as the Core RD team: design docs, production-grade code reviews, and high-level architectural planning. Requirements: Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works. Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale. AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle. The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops. Problem Hunter: You have a "hacker" instinct. You don't just find a bug; you find the architectural flaw that allowed it to exist. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.