Software Engineer II, Model Platform

ABOUT THE ROLE Abnormal AI is looking for a Software Engineer II to join the Detection Team. The Detection Division is focused on building 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. WHAT YOU WILL 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. * Own real-time and near real-time streaming pipelines, and online feature serving services. * Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing. MUST HAVES * 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. 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 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 [https://assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt9cbda641db7c0045/6a1e3d3a66aea075cd33e462/AAP_and_EEO_Statement.pdf]. If you would like more information on your EEO rights under the law, please click here [https://assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt4eb3a265cc7b1ca9/6a1e3d3bfe33e73c16ff026b/EEOC_Know_Your_Rights_Oct_30_2025.pdf].

You will architect, build, and maintain model serving infrastructure and real-time data pipelines to support the company's detection engine. Additionally, you will collaborate with machine learning and data science teams to scale services and improve feature development workflows.

Candidates must have at least 4 years of software engineering experience with a focus on data-intensive systems and cloud-based distributed architectures. A bachelor's degree in computer science or a related engineering field is required, along with strong fundamentals in data structures and performance optimization.

• Microsoft AzurePreferred
• KubernetesPreferred
• GoPreferred
• PostgreSQLPreferred
• DjangoPreferred
• Amazon Web ServicesPreferred
• Google CloudPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Software Engineering
• Model Serving
• Distributed Systems
• Cloud Platforms
• AWS
• GCP
• Azure
• Real-time Data Pipelines
• Streaming Services
• Python
• Django
• Golang
• Postgres
• Kubernetes
• Computer Science
• Performance Optimization
• GitHub Copilot
• Pipelines
• Go (Programming Language)
• Artificial Intelligence Development
• Artificial Intelligence
• Amazon Web Services
• Microsoft Azure
• Information Systems
• Data Processing
• Data Structures
• Django (Web Framework)
• Scalability
• Python (Programming Language)
• PostgreSQL
• Machine Learning
• Open Web Application Security Project (OWASP)
• Software Systems
• Data Science
• Real Time Data
• Claude AI

• Software
• Technology
• Engineering
• Data & Analytics
• Security & Safety
• Platform Software Engineer
• Platform Engineer
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Validation Engineers
• Industrial Engineers

Minimum education

Bachelor’s degree

Minimum experience

4+ years

Posting language

English

Working hours

40 hours per week