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Ent

Intent-aware workspace security platform

Senior Endpoint Engineer - EDR, Linux

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 10 years designing, building, and delivering production C/C++ or Rust systems software, with a substantial portion in endpoint security, operating system internals, or comparable performance-critical native code.
  • Deep working knowledge of operating system internals, including process and thread lifecycle, memory management, file systems, drivers or kernel extensions, and inter-process communication.
  • Hands-on production experience with eBPF.
  • Demonstrated experience building or operating an EDR, EPP, XDR, or antivirus product, or equivalent detection-and-response engineering.
  • Practical fluency in attacker tactics, techniques, and procedures, including reasoning about attacks in raw telemetry.
  • Strong low-level debugging skills, performance tracing, and crash-dump analysis.
  • Experience with multithreaded and concurrent programming under load, including synchronization, lock contention, race conditions, and object lifetime management.
  • A track record of code running on large fleets without degrading end-user experience, treating stability and performance as product features.
  • Scripting fluency for tooling and test automation, using Python or an equivalent language.
  • Clear written and verbal communication with distributed teams and, when escalations require it, directly with customers.

Responsibilities

  • Design, build, and ship kernel- and user-mode components of the Ent agent that observe process, file, registry, network, and identity activity on Linux and turn it into high-fidelity intent signals.
  • Own EDR-class detection and prevention end to end, including sensor instrumentation, event enrichment, on-box correlation, and interception logic that stops malicious activity before it completes.
  • Make and defend explicit tradeoffs among detection efficacy, false-positive rate, and endpoint performance, backed by measured data.
  • Instrument telemetry at the operating-system boundary using eBPF, LSM, and audit subsystems.
  • Harden the agent against tampering, bypass, and evasion through self-protection, integrity validation, and safe handling of untrusted input inside a privileged process.
  • Keep sensor CPU, memory, and I/O within strict budgets while processing thousands of events per second; profile hot paths and eliminate regressions before release.
  • Build test harnesses and automated regression coverage to continuously verify efficacy claims.
  • Drive high-severity customer escalations to root cause at the code and operating-system-internals level, including crashes, hangs, performance regressions, and missed detections, and convert escalation patterns into permanent fixes.
  • Partner with security research, AI, platform, and product teams to feed sensor signals into intent-aware policy enforcement, just-in-time interventions, and investigation timelines.
  • Review code, mentor engineers, document design decisions, and share ownership of agent release quality and on-call.

Desired Qualifications

  • Kernel-mode driver or kernel extension development shipped to production at scale.
  • Background in reverse engineering, malware analysis, or exploit and vulnerability research.
  • Experience with anti-tamper and code integrity.

About the Company

Ent

Intent-aware workspace security platform

Ent provides an intent-aware workspace security platform that prevents security incidents by interpreting the intent behind actions of humans and AI agents in real time. It uses a lightweight endpoint agent and a browser extension to monitor activity and enforce corporate policies, triggering automated interventions before actions complete. It is hosted in the customer’s cloud and extends existing security stacks (EDR, SIEM, SOAR, IAM) rather than replacing them, with a focus on insider risk, AI governance, and data loss prevention. Its goal is to help enterprises manage risks from a modern workforce that includes non-human agents, reducing data loss and improving security governance.

Company size
51-200
Company stage
Seed
Total funding
$100M
Headquarters
San Francisco, CA
Founded
2025

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