Windows Engineer
Upwind Security
Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime...
Job description
We are looking for an experienced Software Engineer to join our great Sensor Components SW-Engineering group to build Upwind Sensor for Windows OS. The group faces complex engineering issues on a daily basis, both solving new challenges and constantly improving the existing solutions. We work with all major cloud providers (AWS, GCP, Azure) and use cutting-edge technologies such as Go, Kubernetes, Docker, eBPF, and more.
Responsibilities
Customer focus: Collaborate with product management to implement customer-requested features.Full project ownership: Oversee all project phases from inception to production, including design, development, deployment, monitoring, and maintenance.Technical leadership: Contribute to architectural decisions and conduct code reviews to ensure high quality.System optimization: Analyze and enhance systems for performance, scalability, and reliability.Build top Security modules for full protection providing network monitoring, processes, file integrity, detection and responses.Cross-functional collaboration: Work closely with frontend, backend, and DevOps teams to deliver exceptional features
Requirements
Requirements
Bachelor of Science in Computer Science/Software Engineering or related field3+ years of experience with Software Engineering in a systems programming language (e.g. C, C++, C#)Experience developing Windows Kernel DriversExperience developing Windows Security modules utilizing WMI or other security frameworkFamiliarity with Windows internals, networking and file systems
Preferred Qualifications
2+ years of experience working with Kubernetes.Experience with HLK, windbg, and Windows Performance AnalyzerExperience with cloud platforms and products (e.g. AWS, GCP and Azure)Experience implementing data-intensive systems (databases, event systems, messaging systems, etc)