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Nightfall

AI-powered data leak prevention for SaaS

Endpoint Engineer - Linux

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaHybrid

About the Job

Requirements

  • Expertise in C/C++ for Linux systems development.
  • Demonstrable experience building production agents or system-level software on Linux.
  • Deep hands-on experience with one or more Linux kernel subsystems relevant to security and monitoring.
  • Practical knowledge of eBPF, including BPF CO-RE, libbpf, and BCC, for tracing, network filtering, and security enforcement.
  • Experience with Linux Security Modules, including SELinux, AppArmor, or custom LSM hooks.
  • Working knowledge of fanotify, inotify, netlink, and procfs for system activity monitoring.
  • Familiarity with Linux namespaces, cgroups, and container runtimes such as Docker and containerd in enterprise deployments.
  • Experience with kernel-level debugging using tools such as ftrace, perf, crash, SystemTap, or GDB with KGDB.
  • Ability to use reverse engineering and binary analysis techniques when debugging kernel-space code.
  • Familiarity with enterprise Linux deployment environments and MDM tools.
  • Ability to decompose complex business problems and own them end to end across teams.
  • At least 5 years of related systems or endpoint engineering experience.

Responsibilities

  • Design and develop data exfiltration prevention applications, kernel modules, system services, and agents on Linux.
  • Build and maintain mission-critical endpoint agents that monitor and enforce DLP policies across Linux distributions, including Ubuntu and RHEL/CentOS.
  • Implement kernel-level event interception using eBPF, LSM hooks, netfilter, fanotify, or similar mechanisms to monitor file, network, and clipboard activity.
  • Develop userspace components that integrate with kernel subsystems and enforce policy decisions in real time.
  • Collaborate with the Mac and Windows endpoint teams to align cross-platform agent architecture, shared policy models, and consistent DLP behaviors.
  • Own complex features from design to delivery, including scoping, implementation, testing, and customer-facing documentation.
  • Diagnose and resolve deep systems-level issues, including kernel panics, race conditions, file descriptor leaks, and IPC failures.
  • Ensure agent reliability, upgrade safety, and a minimal performance footprint on target Linux environments.
  • Write and maintain documentation covering internal architecture, public APIs, and deployment guides for enterprise customers.

Desired Qualifications

  • Familiarity with Go.
  • Prior experience building DLP, EDR, or endpoint security products on Linux.
  • Contributions to open-source Linux kernel or eBPF ecosystem projects.
  • Experience with FUSE or overlayfs for file activity interception.
  • Knowledge of the Linux audit subsystem (auditd) and its integration with SIEM tooling.
  • Experience developing or integrating with XDR/EDR platforms such as CrowdStrike or SentinelOne.
  • Familiarity with clipboard and X11/Wayland display server internals for content inspection.
  • Background in Go for high-performance agent components.

About the Company

Nightfall

AI-powered data leak prevention for SaaS

Nightfall.ai provides data leak prevention for SaaS and cloud environments by using AI to identify, classify, and protect sensitive data. It works through API integrations that developers embed into their applications, using a configurable detection engine and customizable rules to scan for sensitive information across platforms such as Slack, Google Drive, GitHub, Confluence, Jira, Salesforce, Asana, and Zendesk. The company differentiates itself by offering developer-facing, customizable DLP capabilities that can be embedded into existing cloud and SaaS workflows rather than offering a standalone security product, with revenue from API subscriptions. Its goal is to reduce the risk of data breaches and help organizations protect data and maintain compliance in cloud and SaaS settings.

Company size
51-200
Company stage
Series B
Total funding
$60.3M
Headquarters
San Francisco, CA
Founded
2018

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