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About the Role
Join the Endpoint Data Protection team to protect organizations from data loss and insider risk across millions of endpoints. This foundational role involves working on our next-generation endpoint sensor technology, building kernel drivers and Endpoint Security extensions to detect and stop data loss and insider risk.
Responsibilities
- Design and develop core capabilities for Windows, macOS, and Linux agents throughout the complete software development and release lifecycle.
- Work at the OS boundary, building performant, reliable kernel-mode components and Endpoint Security and Network extensions that handle complex system interactions.
- Build detection paths and real-time inline enforcement, moving beyond telemetry and alerting to deny/block decisions without compromising endpoint performance.
- Own features end to end, from early research and proof of concept through production at scale, and integrate agent capabilities with backend and product workflows.
- Build always-on components with strong observability, performance, and stability in production.
- Bring an adversarial, security-first mindset to everything you build, designing components that resist evasion and treat all input as untrusted.
- Collaborate with product and cloud service teams to turn discoveries into capabilities that support real-world security investigations.
Requirements
- Deep experience building production software, including substantial work in low-level systems or endpoint development and code that runs continuously and reliably across large-scale endpoint or systems deployments.
- Low-level endpoint development expertise on at least one platform: Windows kernel mode, including minifilters, drivers, WFP, and C++; or macOS Endpoint Security and Network Extension frameworks using Swift or C++.
- Strong C++ fundamentals, with sound judgment about memory, concurrency, and performance trade-offs and fluency with the debugging and profiling tools this work demands.
- Experience designing extensible software architectures, including library boundaries and interface contracts, with the discipline to maintain and evolve long-lived code.
- A security mindset that accounts for both evasion and adversarial behavior and how authorized users move data.
- Experience building real-time inline enforcement and deny/block paths—not just detection and telemetry—under the strict performance and stability constraints of always-on endpoint software.
- Performance discipline: build always-on software that earns its place on the endpoint and never degrades the user's experience, applying profiling, caching, and memory-management techniques.
- Comfort working daily with AI coding assistants and agents, with an interest in helping secure the AI-driven workflows customers are adopting.
- Cross-platform development experience across Windows, macOS, and Linux.
- Network-layer monitoring experience, including user-space traffic capture, TLS-aware analysis, macOS Network Extensions, or the Windows Filtering Platform.
- Exposure to data security, DLP, or content-classification concepts—or genuine eagerness to grow into the data-centric problem space, including file-activity telemetry, content hints, and egress enrichment.
- Experience shipping enterprise endpoint software, including silent installation, automatic updates, multi-tenant configuration, and the operational reality of heterogeneous corporate fleets.
- Production experience with Rust, or demonstrated ability and interest in working in a Rust codebase.
- A background in behavioral analytics or adjacent detection domains.
- Successful completion of applicable background checks.
Skills
- Kernel drivers
- Endpoint Security extensions
- Windows kernel mode
- macOS Endpoint Security
- macOS Network Extension frameworks
- C++
- Swift
- Rust
- AI coding assistants
- Network-layer monitoring
- User-space traffic capture
- TLS-aware analysis
- Windows Filtering Platform
- Data security
- DLP
- Content classification
- File-activity telemetry
- Content hints
- Egress enrichment
- Enterprise endpoint software
- Silent installation
- Automatic updates
- Multi-tenant configuration
- Behavioral analytics
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
Salary/Compensations
- $148,000-$222,000
Benefits
- Benefits
About the Company
- The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small slip-up can become a very public one. We disrupt cybercriminal activity before that happens. We think fast, go big, and always demand more of ourselves. We work hard, deliver, and repeat. We grow with real determination and put success well within reach. We push each other to be better and expect to be pushed back, in a community built on respect, where everyone is counted. Work Protected.
- Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, and we're looking for someone genuinely curious about working this way—including bringing that curiosity to securing the AI-driven workflows this role increasingly has to defend against.
Equal Opportunity
- We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups.
- We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application.
- If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com.
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.