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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! #LI-FS1 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
