高级集成软件工程师 - 台湾
Sr. Integration Software Engineer - Taiwan
加入一家快速发展的全球网络安全领导者，被行业内一些最大的企业所信赖。除了世界上最大的企业和政府机构外，超过30%的世界顶级MSSP依赖我们的平台。我们利用前沿的AI和自动化技术，处于保护组织免受复杂网络威胁的最前沿。我们的文化建立在多样性、开放性和协作的基础上，促进创造力和创新，从而在市场中产生实际影响。
职位概述
我们正在寻找一名高级软件工程师，负责我们自动化驱动的开放统一SecOps平台（支持我们的AI驱动的SIEM、NDR、Open XDR和多层AI）中的一个或多个集成领域。
该职位需要交付稳健、生产级的集成方案，以支持我们不断增长的客户群，同时推动平台进一步扩展到下一阶段。您将交付基于微服务的解决方案，涵盖传统和AI原生的集成模式——REST、GraphQL、流式API、MCP和LLM驱动的自动化，将我们的平台与各种网络安全工具和第三方服务连接起来。
请注意，作为我们面试流程的一部分，我们将邀请最终候选人进行现场面试，与我们的团队见面。
您将负责的工作
我们需要一位专注于AI无法完成的工作，并利用AI放大其他所有工作的人员。
只有您可以完成的工作
· 全程负责一个或多个集成领域：路线图、架构决策、权衡和交付。您会识别需要解决的问题，明确范围，并推动其完成。
您将利用AI放大的工作
- 使用基于LLM的编码助手、AI驱动的测试和自动化代码审查，加速您自己的设计和开发流程。
- 使用AI和脚本自动化重复的工程任务——构建、部署、监控、事件分类，让团队有更多时间专注于高价值工作。
- 在团队中推动AI的采用：帮助同事将AI工具整合到日常工作中，构建能带来杠杆效应的内部工具，并衡量效率提升。
要求
· 计算机科学、工程或相关领域的学士或硕士学位
- 5年以上后端软件开发经验，其中1年以上担任技术负责人或有项目完全负责的经验。
- 精通Python、Go或Java，具备扎实的构建和运维基础
查看英文原文
Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market.
Position Overview
We are looking for a Senior Software Engineer to take ownership of one or more integration domains on our Automation-Driven Open & Unified SecOps Platform (powering our AI-driven SIEM, NDR, Open XDR, and Multi-Layer AI).
This role requires delivering robust, production-grade integrations that support our growing customer base, while driving forward so the platform can scale to the next level. You will deliver microservice-based solutions spanning both traditional and AI-native integration patterns—REST, GraphQL, streaming APIs, MCP, and LLM-powered automation—connecting our platform with a wide range of cybersecurity tools and third-party services.
Please note, as part of our interview process, we will be inviting successful finalists for an on-site interview to meet with our team.
What You Will Own
We need someone who focuses on the work AI cannot do—and uses AI to amplify everything else.
The work only you can do
· Own one or more integration domains end-to-end: roadmap, architecture decisions, trade-offs, and delivery. You identify what needs solving, scope it, and drive it to completion.
What you’ll use AI to amplify
- Accelerate your own design and development workflow using LLM-based coding assistants, AI-driven testing, and automated code review.
- Automate repetitive engineering tasks—builds, deployments, monitoring, incident triage—using AI and scripting, so the team spends more time on high-value work.
- Champion AI adoption across the team: help colleagues integrate AI tools into their daily work, build internal tooling where it adds leverage, and measure the efficiency gains.
Requirements
· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 5+ years of backend software development experience, with 1+ years as a technical lead or proven experience in taking full ownership of a project.
- Proficiency in Python, Go, or Java with a strong foundation in building and operating microservices in production.
- Deep experience with API design and integration—both traditional (REST, GraphQL, streaming) and AI service integration (LLM APIs, embedding services)—including secure API patterns (OAuth, API keys, rate limiting).
- Strong background in distributed systems, message queues (Kafka, RabbitMQ), or orchestration frameworks (Celery, Airflow, or similar).
- Demonstrated ability to use AI tools (e.g., Copilot, Cursor, Claude, ChatGPT) to meaningfully accelerate engineering workflows—not just experimentation, but regular use in production work. You have the judgment to know when AI output is trustworthy and when it needs human expertise.
Preferred Qualifications
- Experience in cybersecurity domains: SOAR, EDR, SIEM, XDR, or similar.
- Hands-on experience with large-scale data processing, real-time pipelines, or event-driven architectures.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Kubernetes, Helm).
- Experience with AI-native integration patterns—such as MCP (Model Context Protocol), function calling, or agent orchestration frameworks—or hands-on experience building systems that incorporate LLMs or AI services into workflows or product features.
Why Join Us
- Work at the forefront of cybersecurity innovation within a dynamic, fast-growing team.
- Opportunity to significantly influence and shape the integration architecture of a next-generation SecOps platform powered by AI and automation.
- Competitive salary and ample career growth opportunities
Originally posted on Himalayas