smart-working-solutions - Endpoint Engineer (C++ / Systems) (Remote, Full-Time) [AS349]

• Develop and maintain a C++17 endpoint sensor running on customer machines across Windows, Linux and macOS. • Capture, process and stream host and network telemetry while maintaining a minimal system footprint. • Ensure memory safety, thread safety and graceful failure handling, particularly on customer machines where redeployment is challenging. • Contribute to the development of a virtualized testing environment capable of running attack scenarios across multiple operating systems as a likely early project. • Maintain high standards of software correctness, performance, reliability and testing to minimize risks across large-scale customer deployments. • Take end-to-end ownership of engineering features and projects, from understanding customer requirements through to successful delivery. • Work directly with customers to understand technical challenges and ensure solutions effectively address their needs. • Independently establish priorities and manage two major projects alongside smaller AI-driven engineering tasks. • Use AI agents and frontier models daily to accelerate development, explore unfamiliar technologies and navigate complex codebases. • Collaborate closely with engineering colleagues, maintaining clear communication while working autonomously. • Prioritize high-impact engineering work and respond quickly to critical requirements. • Demonstrate a growth mindset by welcoming feedback, reconsidering existing solutions and contributing to continuous team improvement. • Build trust through careful engineering, transparent communication, early identification of risks and consistent delivery. • Minimum 3 years of experience with multithreading, concurrency and thread safety in performance-sensitive applications. • Minimum 3 years of experience in memory management and memory safety, including developing reliable and resource-efficient software. • Minimum 3 years of experience in performance optimization, particularly within systems-level applications. • Minimum 3 years of experience in software testing and correctness, with a rigorous approach to reliability and failure handling. • Daily, hands-on experience using AI agents and frontier AI models to support software engineering, solve unfamiliar technical problems and work independently across different codebases. • Demonstrated ability to use LLMs to learn unfamiliar technical areas and manage multiple engineering projects effectively. • Strong understanding of engineering reliability and the potential impact of software failures on customer systems. • Proven ability to take ownership of engineering projects from beginning to end, independently setting priorities and delivering outcomes without constant supervision. • Customer-focused approach, with the willingness to communicate directly with customers and remain accountable until their problems are resolved. • Ability to prioritize urgent, high-impact work while maintaining engineering quality. • Excellent communication and collaboration skills, with a proactive approach to sharing progress, challenges and technical decisions. • Growth mindset, openness to constructive criticism and willingness to reconsider or replace existing solutions when necessary. • Commitment to honesty, attention to detail, early identification of problems and consistent delivery. • Ability to explain technical implementations, justify engineering decisions and demonstrate a clear understanding of developed solutions. • Willingness to work remotely in alignment with UK working hours. • Candidates with strong Windows systems experience are encouraged to apply. Previous Linux and macOS experience is not mandatory, as these can be learned. Prior cybersecurity experience is also not required.