Job Closed
This listing is no longer active.
Microsoft, SAP, and general IT recruiters | Talent Acquisition Worldwide | Recruitment Outsourcing
Senior Windows Endpoint Engineer
Location
Europe
Posted
101 days ago
Salary
$4.5K - $5.5K / month
Seniority
Senior
Job Description
Senior Windows Endpoint Engineer
Talentuch
• Design and develop data exfiltration prevention applications, drivers, system extensions, and background services on Windows • Build, maintain, and evolve mission-critical endpoint agents • Own complex features end-to-end, from architecture and design to delivery and production support • Troubleshoot low-level system issues reported by customers • Design and build secure cross-platform components with a strong focus on Windows • Write and maintain technical documentation for internal and public-facing services
Job Requirements
- 5+ years of relevant engineering experience
- Strong expertise in C or C++ on Windows
- Hands-on experience developing endpoint agents on Windows
- Practical experience with Windows Driver Frameworks (WDF), filter drivers, and strong understanding of user-mode applications
- Deep understanding of Windows OS internals
- Experience with kernel-level debugging tools and processes
- Ability to use reverse engineering techniques and debug kernel-space code
- Ability to decompose complex business problems and drive them end-to-end across teams
- Willingness to learn additional systems languages such as Rust, Go, or Python; prior experience with any of them is a strong plus
- Strong ownership mindset, attention to detail, and ability to operate in a dynamic product environment
Related Guides
Related Categories
Related Job Pages
More Engineer Jobs
• Collaborate Globally: Interface with commercial airline operators, MRO shops, worldwide P&W Field Service Representatives, and airframe companies (Airbus/A220, Embraer/E190) with a focus on Combustor, Diffuser, High Pressure Turbine and Turbine Intermediate Case hardware. • Coordinate data development with the PW800 program and in-service engineering teams. • Develop Technical Data: Initiate and oversee the creation of Engineering Authorizations (EAs), Special Instructions, Service Bulletins and other maintenance documents to support airline customers. • Contribute to updates for Aircraft Maintenance Manuals (AMM), Engine Manuals and Clean, Inspect & Repair (CIR) manuals. • Support Critical Operations: Receive and respond to customer technical questions to keep fleets flying and maintain MRO shop throughput. • Participate in airline and MRO engine shop customer meetings, conferences, customer council calls as well as releasing All Operator communications and Service Information Reports through development and presentation of relevant engineering material. • Interface with Industry Experts: Coordinate and collaborate with the Program Office, Customer Field Directors (CFDs), Component Integrated Product Teams (CIPTs), regulatory authorities, maintenance data authors, field service representatives, Customer Service Managers, Safety Review Board, and program partners to assess, plan and implement technical and logistic fleet management solutions. • Drive Continuous Improvement: Implement process improvements to achieve / exceed EagleNet case metrics associated with on-time delivery of technical case responses and Turn Around Time for both AOG and non-AOG events.
• Conduct safety analysis and establish safety concepts to support ongoing and secure software releases • Collaborate with software developers and AI engineers to ensure safety concepts are implemented and evaluated effectively • Analyze fleet data, test, and simulation results, providing timely feedback to developers to continuously improve safety • Help refine processes and tools for analysis and data-driven safety evaluation • Present safety concepts and safety evaluation results to key collaborators and management to reduce risks to the project
• Build innovative world reconstruction systems using large geometry models, perception models, Gaussian splatting algorithms, and generative world models. • Address user feedback and work to improve the reconstruction fidelity and simulation realism. • Create evaluation methods to measure the reconstruction quality and tools to visualize and debug issues. • Profile and optimize the performance of neural networks as well as end-to-end systems. • Collaborate with researchers and engineers across several organizations.
• Own the design, development, and maintenance of internal tools used daily across engineering, ops, product, and finance • Build agentic AI workflows that automate repetitive internal processes and unlock new capabilities for our teams • Work directly with stakeholders across all teams to identify friction and turn it into functional solutions • Evaluate and integrate the latest AI engineering tools; you'll be our edge here • Contribute to a polyglot codebase and collaborate with the broader engineering team on shared infrastructure



