Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. We're building a team of top-tier engineers who are excited to use Generative AI tools like Cursor, GitHub Copilot, and Claude to redefine how software is built—faster, smarter, and more efficient.
You will build and harden the platforms behind every notification we send, every LLM call the company makes, and every language our product speaks. Expect deep production ownership, real scale and a direct say in where these systems go next.
We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you're passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity.
What You'll Do as a Software Engineer II
- As part of our engineering team, you will:
- Leverage AI-powered Development – Use Cursor, Copilot, and other AI tools to enhance productivity, optimize workflows, and automate repetitive tasks.
- Develop Data-Driven Applications – Build consumer-grade interfaces and APIs that power our advanced behavioral AI insights.
- Combat Modern Cyber Threats – Design and deploy secure, scalable systems that detect and prevent sophisticated cyberattacks.
- Collaborate with Fortune 500 Enterprises – Work with customers and security teams to rapidly iterate and deliver impactful solutions.
- Build at Scale – Design backend services and cloud architectures that support billions of security events across enterprises worldwide.
Technical Requirements
- We're looking for engineers who have:
- 3+ years of professional experience in software development.
- Backend development experience with Python, TypeScript, or Go.
- Strong fundamentals in computer science, data structures, and performance optimization.
- Experience building or operating gRPC or REST APIs in production.
- Comfort debugging distributed systems failures. Think retries, timeouts, queueing, race conditions, connection pooling, etc. Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.
- Experience / passion in 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.
Why Abnormal AI?
- Work on AI-native Security Solutions – Build real-world AI-powered applications that protect enterprises from evolving cyber threats.
- Leverage AI to Accelerate Development – We encourage AI-assisted coding to enhance creativity, eliminate grunt work, and boost engineering velocity.
- Solve Complex Challenges at Scale – Work on high-volume, distributed systems processing billions of security signals.
- Join a High-Caliber Team – Collaborate with industry-leading engineers, AI researchers, and security experts.
- Impact Fortune 500 Enterprises – Build solutions that secure the world's largest companies from sophisticated cyber attacks.
Ready to be part of AI transformation at Abnormal AI? 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.
Skills Required
- 3+ years of professional software development experience
- Backend development experience with Python, TypeScript, or Go
- Strong computer science fundamentals, including data structures and performance optimization
- Production experience building or operating gRPC or REST APIs
- Experience debugging distributed systems failures, including retries, timeouts, queueing, race conditions, and connection pooling
- Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude
- Experience building scalable, enterprise-grade applications
- Knowledge of AWS, GCP, or Azure
- Experience with Docker and Kubernetes
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.
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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.
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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.
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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
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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