Senior Software Engineer - Model Platform
Join Abnormal Security as a Senior Software Engineer to build advanced systems for detecting email and cloud-based attacks.
Posted by employer 3 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Architect, design, build, deploy, and maintain Model Serving infrastructure
- Own projects that scale model serving and data processing services
- Build the platform for fighting against AI attacks
- Own real-time streaming pipelines and online feature serving services
- Build ML Training platform to improve MLE velocity
Must have
- 5+ years of experience as a Software Engineer
- Experience maintaining large-scale distributed systems on cloud platforms
- Experience with maintaining real-time data pipelines
- Proven ability to collaborate effectively with cross-functional teams
- Excellent problem-solving skills
Nice to have
- Familiarity with machine learning workflows
- Experience with streaming data architectures
- Knowledge of security and compliance frameworks
AI in the day-to-day
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer will focus on architecting and maintaining the model serving infrastructure that underpins Abnormal Security's advanced detection engine. Key skills include experience with large-scale distributed systems on cloud platforms and real-time data processing. This position is suited for seasoned engineers with a strong background in machine learning solutions and a collaborative mindset, as they will work closely with data scientists and machine learning engineers. The team is dedicated to enhancing security against evolving AI threats.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze September 19, 2026. Last confirmed on Abnormal Security's careers page September 20, 2026.
- This exact title is also open at 1 other location at Abnormal Security: Remote - Canada.
- Salary band is in line with the typical range for AI/ML roles (median ~$189,000).
- Starts above 34% of 65 comparable senior ai/ml roles in United States that list Machine Learning we track (median $200,000 across 32 companies). See Machine Learning salary trends
- Machine Learning appears in 18.2% of 543 comparable senior ai/ml roles in United States; Data Pipelines appears in 0.7% of 543 comparable senior ai/ml roles in United States.
Quick facts
- Is the Senior Software Engineer - Model Platform role remote?
- Yes — Abnormal Security lists this as a fully remote position.
- What's the salary range?
- Abnormal Security lists $179,800–$258,500 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer - Model Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Data Pipelines, GCP, Machine Learning, streaming services.
- What seniority level is this role?
- Abnormal Security targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer - Model Platform role at Abnormal Security.
From the original posting
About the Role
Abnormal AI is looking for a Senior Software Engineer to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and helping make the world a safer place. As a Senior Software Engineer building systems for Detection’s Signals and Serving Team, you will make feature development at Abnormal fast, responsive, stable, and confident for our ML and Data Science team.
The ideal candidate would have the following qualities:
- A first principles approach to building scalable, customer-centric solutions
- A drive to solve meaningful & pragmatic problems for real-world people
- An ownership and impact-oriented outlook on your efforts and growth
- An ability to iterate in real-time-solving novel problems, quickly and autonomously
An ability to iterate in real-time - solving novel problems, quickly and autonomously
What you will do
- 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
- Build the platform for fighting against rapidly generated AI attacks
- Own real-time, near real-time streaming pipelines, and online feature serving services
- Build Abnormal’s ML Training platform, improving MLE velocity and product precision and recall
- Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing
- Coach and mentor junior engineers via 1on1s, pair programming, high-quality code reviews, and design reviews
Must Haves
- 5+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building ML-engineering focused solutions.
- Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of cloud-based engineering best practices.
- Experience with maintaining real-time and near real-time data pipelines or streaming services at high scale
- Proven ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders. You can translate requirements into actionable technical tasks, communicate progress clearly, and adapt to feedback.
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You can break down complex challenges into manageable steps and iterate on solutions, balancing immediate needs with long-term scalability.
- Familiarity with machine learning workflows and requirements to support MLE teams effectively. This includes feature development and serving at 50K+ QPS, offline/online equivalency, large batch jobs for data gathering and training of tree and deep learning models.
- Experience with streaming data architectures and real-time processing.
- Knowledge of security and compliance frameworks as they relate to data engineering and data privacy.
#LI-PP1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
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.
Standard company text repeated across Abnormal Security's postings is omitted here.