Offer summary

Qualifications:

4+ years of experience as a Software Engineer or in a similar role with a focus on data solutions., Strong grasp of cloud platforms like AWS, GCP, or Azure and best practices in cloud engineering., Excellent problem-solving skills and ability to work independently in fast-paced environments., BS degree in Computer Science, Applied Sciences, Information Systems, or related engineering field..

Key responsabilities:

Architect, design, build, deploy, and maintain Model Serving infrastructure for the Detection Engine.

Own projects to scale model serving and data processing services to handle increased traffic.

Manage real-time streaming pipelines and online feature serving services.

Collaborate with MLE and Data Science teams to distill feedback and execute strategies.

Job description

About the Role

Abnormal Security is looking for a Software Backend Engineer II 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 help make the world a safer place. As a Software Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience 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
Own real-time, 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 in building data-focused solutions.
Experience with 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.
Familiarity with maintaining real-time and near real-time data pipelines or streaming services
Experience working with distributed teams, proficient in asynchronous and written communication
Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You’re capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability.
You’re growth driven & looking to increase impact & responsibility over time
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, K8, Python/Django, Golang, Postgres)
Experience / passion in building scalable, enterprise-grade applications.
Experience with web security (eg. OWASP top 10)
Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.

#LI-RT1

At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.

Base salary range:

$148,800—$175,000 USD

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