后端工程师（Go）– 端点安全
Backend Engineer (Go) – Endpoint Security
位置：印度，远程优先
职位类型：全职
入职时间：2026年11月
经验：5年以上
语言：英语流利
行业：网络安全 / 企业SaaS / AI安全
关于这个机会
Pragmatike正在为一家全球企业网络安全公司招聘，该公司正在打造新一代产品，以保护AI代理、LLM驱动的应用程序以及它们访问的数据。
端点安全团队将这些控制直接扩展到用户设备，检测运行在笔记本电脑和工作站上的AI工具和代理，监控它们对本地数据的访问，并在流量未到达网关时执行安全策略。
你将构建基于Go的端点组件和后端服务，为该系统提供支持。
此职位适合一位系统思维的工程师，能够熟练操作操作系统底层，并理解性能、资源使用、可靠性以及在不受控制的机器上运行软件的挑战。
你将负责
- 设计并构建跨Windows、macOS和Linux平台的Go代理和后端服务，实现端点可见性和安全执行。
- 检测AI应用程序、本地模型、基于浏览器的代理和IDE助手，并监控它们与敏感文件和进程的交互。
- 构建端点集群管理的后端服务，包括配置、策略分发、遥测数据采集和健康监控。
- 优化端点软件，使其资源占用低、可靠、更新安全，并在网络不稳定的情况下具备弹性。
- 与安全研究人员合作开发检测逻辑，并与平台团队协作处理遥测和数据管道。
- 参与跨平台测试、代码签名、发布工程和生产就绪性工作。
- 使用AI辅助开发流程来加速实现、测试、调试和解决问题。
我们寻找
- 5年以上后端或系统开发经验，包括3年以上使用Go构建生产软件的经验。
- 具有操作系统级编程的实际经验，包括进程、文件系统、网络栈和系统API，至少在Windows、macOS和Linux中的两个平台上。
- 对Go中的并发、网络和性能有深入理解。
- 具备Python工具和测试方面的实际知识。
- 具备gRPC/REST API、Docker、Kubernetes以及至少一个主要云提供商的经验。
- 强大的测试规范，特别是在多个操作系统上进行测试。
查看英文原文
Location: India, Remote-First
Employment: Full-Time
Start Date: November 2026
Experience: 5+ years
Language: Fluent English required
Industry: Cybersecurity / Enterprise SaaS / AI Security
ABOUT THE OPPORTUNITY
Pragmatike is recruiting on behalf of a global enterprise cybersecurity company building a new generation of products to secure AI agents, LLM-powered applications, and the data they access.
The Endpoint Security team extends these controls directly to user devices, detecting AI tools and agents running on laptops and workstations, monitoring their access to local data, and enforcing security policies where traffic never reaches a gateway.
You’ll build the Go-based endpoint components and backend services that power this system.
This role is suited to a systems-minded engineer who is comfortable working close to the operating system and understands the challenges of performance, resource usage, reliability, and software running across machines you don't control.
WHAT YOU’LL DO
- Design and build Go agents and backend services for endpoint visibility and security enforcement across Windows, macOS, and Linux.
- Detect AI applications, local models, browser-based agents, and IDE assistants, and monitor their interaction with sensitive files and processes.
- Build backend services for endpoint fleet management, including configuration, policy distribution, telemetry ingestion, and health monitoring.
- Optimize endpoint software for low resource usage, reliability, safe updates, and resilience on unreliable networks.
- Collaborate with security researchers on detection logic and with platform teams on telemetry and data pipelines.
- Contribute to cross-platform testing, code signing, release engineering, and production readiness.
- Use AI-assisted development workflows to accelerate implementation, testing, debugging, and problem-solving.
WHAT WE’RE LOOKING FOR
- 5+ years of backend or systems development experience, including 3+ years building production software in Go.
- Hands-on experience with OS-level programming, including processes, file systems, networking stacks, and system APIs on at least two of Windows, macOS, and Linux.
- Strong understanding of concurrency, networking, and performance in Go.
- Working knowledge of Python for tooling and testing.
- Experience with gRPC/REST APIs, Docker, Kubernetes, and at least one major cloud provider.
- Strong testing discipline, particularly across multiple operating systems and environments.
- Fluent English with strong written and verbal communication skills.
- Comfortable using modern AI coding assistants such as Claude Code, Cursor, GitHub Copilot, Codex, or similar. This is a must-have.
- Strong ownership and the ability to work independently in a remote-first, distributed team.
NICE TO HAVE
- Experience building EDR, endpoint agents, or device-management software.
- Familiarity with eBPF, ETW, Apple's Endpoint Security framework, or other kernel-adjacent technologies.
- Experience with browser extension internals or IDE plugin ecosystems.
- Previous experience in cybersecurity, security tooling, or trust & safety.
- Experience introducing AI-assisted or agentic development workflows across engineering teams.
AI-FIRST ENGINEERING
AI is a core part of the engineering workflow on this team.
During the interview process, you'll be asked about how you use AI in real-world software development, including the tools you use, how you validate their output, and where AI has changed the way you work.
We're looking for engineers who use AI as a force multiplier for quality, productivity, and problem-solving, not simply as an autocomplete tool.
WHY JOIN
- Work on a greenfield product at the intersection of cybersecurity and agentic AI.
- Build software that runs directly on endpoints and operates at enterprise scale.
- Solve challenging systems problems across operating systems, networking, security, and distributed backend infrastructure.
- Take ownership of a critical workstream and influence architecture from an early stage.
- Collaborate with a highly technical, distributed team where AI is a core part of the development process.
Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.