Software Engineer 2

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Singapore, SGP
In-Office or Remote
Mid level
Security • Cybersecurity
The Role
As a Software Engineer II, you'll build and maintain backend services for critical email products, design event-driven pipelines, and collaborate on feature development while ensuring reliability and quality of services.
Summary Generated by Built In

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

  • 2+ 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!

Once you apply, you'll be invited to our AI-Augmented Development Challenge, where you'll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2–4 hours of work to be completed within one week — apply when you're ready!

#LI-FS1

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.

Skills Required

  • 2+ 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

Abnormal Security Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.

  • Fair & Transparent Compensation Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
  • Healthcare Strength Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
  • Leave & Time Off Breadth Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.

Abnormal Security Insights

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The Company
San Francisco, CA
175 Employees
Year Founded: 2018

What We Do

The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow. Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.

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