Software Engineer II, Model Platform

About the Role

Abnormal AI is seeking a Software Engineer II to join the Detection Team. The Detection Division is dedicated to constructing the world's most advanced technology to identify and stop email and cloud-based attacks that were previously undetectable, helping make the world a safer place. As a Software Engineer focused on building systems for Detection's Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science teams. The ideal candidate brings a first-principles approach to building scalable, customer-centric solutions, an ownership-oriented mindset, and the ability to iterate quickly and autonomously on novel problems. You will operate at the intersection of machine learning and infrastructure, ensuring that the platform powering our detection capabilities remains robust, performant, and reliable under demanding production conditions.

What You'll Do

• Leverage industry-standard AI tools to architect, design, build, deploy, and maintain Model Serving infrastructure that supports a world-class Detection Engine.
• Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today without compromising reliability or latency.
• Own real-time and near real-time streaming pipelines, and online feature serving services that form the backbone of our detection capabilities.
• Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing on deliverables that move the platform forward.
• Implement observability, monitoring, and alerting solutions to ensure the model platform meets stringent SLAs and supports rapid iteration.
• Optimize data flows and infrastructure components to reduce bottlenecks and improve throughput across the detection stack.
• Partner with cross-functional stakeholders to translate ambiguous requirements into resilient, production-grade software solutions.
• Maintain and evolve the core platform APIs, ensuring they remain intuitive and efficient for downstream consumers.
• Drive best practices in deployment, testing, and reliability engineering across the model platform lifecycle.
• Contribute to the long-term technical vision of the Detection organization by evaluating emerging tools and infrastructure patterns.

Requirements

• 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience building data-focused solutions.
• Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.
• Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based engineering.
• Experience with real-time and near real-time data pipelines or streaming services.
• Strong fundamentals in computer science, data structures, and performance optimization.
• BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field.
• Ability to work effectively in a fast-paced, autonomous environment where ownership and clarity are driven by outcomes.
• Willingness to collaborate across teams and communicate technical tradeoffs to both technical and non-technical audiences.
• Commitment to writing high-quality, maintainable code and contributing to a healthy, scalable codebase.

Nice to Have

• Familiarity with our stack: AWS, Kubernetes, Python/Django, Golang, and Postgres.
• Experience building scalable, enterprise-grade applications.
• Experience with web security (e.g., OWASP Top 10).
• Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.

#LI-PP1

Practical notes

This is a full-time position based in the United States. Compensation details are provided in range to support transparency. Candidates must meet the outlined requirements and be able to contribute reliably in a distributed, high-performance engineering environment.

$149,200

-

$214,500 USD

AI and our hiring 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 identify 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.

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