软件工程师 II - 关键邮件产品
Software Engineer II - Critical Email Products
关于职位
Abnormal AI 正通过一个原生人工智能平台重新定义网络安全，保护现代企业免受高级电子邮件攻击、账户泄露和针对人员的威胁。我们的产品帮助安全团队检测复杂攻击，快速调查风险，并在企业规模上自动化响应。我们正在组建一支优秀的工程师团队，他们热衷于使用现代人工智能开发工具，更快地构建、做出更好的决策，并以更高的效率交付高质量的软件。
我们正在寻找一名位于新加坡的软件工程师 II，后端工程师加入 CEP（关键电子邮件产品）团队，该团队隶属于 MSP（消息安全产品）组织。CEP 团队提供企业需要的功能，使他们能够完全迁移到 Abnormal 并移除传统的电子邮件网关。这是与直接业务影响相关的功能对齐工作，CEP 所有功能的发布都会解除那些已准备好从 SEG 迁移但因功能缺失而受阻的客户。该团队目前负责一套 SEG 功能，包括但不限于 URL 重写和邮件摘要。
如果你喜欢快速推进、从头到尾负责系统，并与高标准的工程师一起工作，那么这就是适合你的团队和机会！
你将负责的工作
- 构建和维护支持 CEP 产品功能的后端服务
- 设计和演进事件驱动的处理流程（Kafka 消费者、Airflow DAG），在企业规模下可靠地处理电子邮件流量
- 在多租户、多云部署环境中工作（包括 M365 和 Google Workspace 客户，FedRAMP 环境）
- 利用人工智能增强的开发工具探索解决方案，优化输出，并更快地交付可靠的生产结果
- 与产品和跨职能合作伙伴协作，快速迭代功能，推动客户从传统 SEG 迁移到 Abnormal
- 在团队扩展产品功能的同时，为服务可靠性、可观测性和运营质量做出贡献
必备条件
- 3 年以上软件开发工作经验
- 具有 Python 或 Golang 的后端开发经验
- 具有构建可扩展、企业级应用的经验
- 了解云平台（AWS、GCP 或 Azure）和容器化技术（Docker、Kubernetes）
- 扎实的计算机科学基础，包括数据结构和性能优化
加分项
- 具有人工智能开发工具（如 Cursor、GitHub Copilot 或 Claude）的使用经验
- 具有事件驱动架构的经验
查看英文原文
About the Role
Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern enterprises from advanced email attacks, account compromise, and human-targeted threats. Our products help security teams detect sophisticated attacks, investigate risk quickly, and automate response at enterprise scale. We're building a team of strong engineers who are excited to use modern AI development tools to build faster, make better decisions, and ship high-quality software with more leverage.
We're looking for a Software Engineer II, Backend Engineer based in Singapore to join the CEP (Critical Email Products) in the MSP (Message Security Products) organisation. The CEP team ships the capabilities enterprises need to fully consolidate on Abnormal and remove their legacy email gateway. This is feature parity work with direct business impact, and every capability CEP ships unblocks customers who are ready to move off their SEG but held back by missing functionality. The team currently owns a suite of SEG features that include, but are not limited to, URL Rewriting and Email Digest.
If you enjoy moving fast, owning systems end to end, and working alongside engineers who hold a high bar, this is the team and opportunity for you!
What You'll Do
- Build and maintain backend services powering CEP's product surface
- Design and evolve event-driven pipelines (Kafka consumers, Airflow DAGs) that process email traffic reliably at enterprise scale.
- Work across a multi-tenant, multi-cloud deployment footprint (M365 and Google Workspace customers, FedRAMP environments)
- Leverage AI-augmented development tools to explore solutions, refine outputs, and deliver reliable production outcomes faster.
- Collaborate with product and cross-functional partners to iterate quickly on features that move customers from legacy SEGs to Abnormal.
- Contribute to service reliability, observability, and operational quality as the team scales its product surface.
Must Haves
- 3+ years of professional experience in software development.
- Backend development experience with Python or Golang.
- Experience building scalable, enterprise-grade applications.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong fundamentals in computer science, data structures, and performance optimization.
Nice to Have
- Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
- Experience with event-driven systems: Kafka, SQS, or similar message queue / stream processing patterns.
- Familiarity with email delivery pipelines, email authentication standards (DMARC, DKIM, SPF), or email security products.
- Exposure to multi-tenant SaaS architectures or enterprise integrations (M365, Google Workspace APIs).
- Experience improving service reliability, observability, and operational tooling in production systems.
- Prior work in cybersecurity, email security, or compliance-adjacent domains.
Ready to be part of AI transformation at Abnormal Security? Apply Now!
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A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.