Senior Software Engineer - Attack Detection

Abnormal Security Corporation; Canada; Remote; CAD 80,000 - 130,000; Full time

Job summary

Join a fast-growing cybersecurity firm as a Senior Software Engineer focused on Attack Detection. This innovative role involves designing and deploying backend services that support a high-performance Detection Engine, essential for combating evolving cyber threats. Collaborate closely with machine learning engineers to create a robust ML platform, while mentoring junior talent. Enjoy a flexible work environment and contribute to a mission-driven team dedicated to protecting clients against sophisticated attacks. This is a unique opportunity to make a significant impact in a dynamic and supportive culture, where your contributions are valued and rewarded.

Benefits

Competitive Compensation

Equity options

Flexible PTO

Generous Healthcare Coverage

Fully Distributed Workforce

Qualifications

• 5+ years of experience in data-oriented product development.
• Strong background in real-time and distributed systems.

Responsibilities

• Architect and build backend services for a Detection Engine.
• Coach junior engineers and drive impactful projects.

Skills

Data-oriented product development

Real-time systems

Distributed systems

Cross-functional collaboration

High standards in project execution

Education

BS in Computer Science

MS in Computer Science

Tools

Python

Go

Machine Learning systems

Job description

Senior Software Engineer - Attack Detection

Remote - Canada

Full-time

About the Role

Abnormal Security is looking for a Senior Software Engineer to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine traditional approaches to Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 8% of the Fortune 1000 (and ever growing).

In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The Attack Detection team’s mission statement is to provide world-class detector efficacy to tackle the changing attack landscape using a combination of generalizable and auto-trained models as well as specific detectors for high-value attack categories.

This team is solving a multi-layered detection problem, which involves modeling communication patterns to establish enterprise-wide baselines, incorporating these patterns as robust signals, and combining these signals with contextual information to create extremely precise systems. The team builds discriminative signals at various levels including message level (e.g. presence of particular phrases), sender-level (e.g. frequency of sender), and recipient level (e.g. likelihood of receiving a safe message). These signals are then combined and utilized to train highly accurate model-based as well as heuristic detectors. In order to ingest, evaluate, and build on these signals, it is critical to have a robust ML platform that scales to meet the needs of our customers.

This role would also have an opportunity to have a significant impact on the overall charter, direction, and roadmap of the team. As a Senior Software Engineer, you will collaborate with machine learning engineers to architect an ML platform that enables development and deployment of large ML models with low latency.

What you will do

• Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
• Own impactful projects such as building and improving our feature store, optimizing models to run with lower latency/memory requirements, and generally being the bridge between our ML and platform teams
• Coach and mentor junior engineers via 1-on-1s, pair programming, high-quality code reviews, and design reviews

Must Haves

• 5+ years of professional experience as a hands-on engineer building data-oriented products
• Experience with real-time, online, and/or high-throughput & low-latency distributed systems
• Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish line.
• High standards - sets high standards and expectations for project execution for themselves and for collaborators
• BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field

Nice to Haves

• Knowledge of ML systems/products and/or distributed system technologies (feature platform serving systems, ML training and ML serving platforms, etc.)
• Experience working with high-throughput offline systems in Python and/or Go
• MS degree in Computer Science, Electrical Engineering or other related engineering field
• Familiarity with the cybersecurity industry

About Abnormal Security

We're one of the world's fastest-growing cybersecurity companies, on a mission to protect the modern workplace from the most pressing threats. Our AI-native technology was built from the ground up to tackle forward-looking security challenges, and our team works with bleeding-edge technology to keep our customers and their people safe as attacks grow ever more sophisticated. Our team is what makes us successful, which is why we're committed to a culture of learning, ownership, and high performance, where you'll have the opportunity to accelerate your growth and unlock excellence with the support of talented colleagues.

Taking care of our team goes beyond the office. Our compensation and benefits philosophy is designed to attract, motivate, and retain top talent: Competitive Compensation We pay competitively to attract, reward, and retain top talent in the market. Equity is an important part of our total comp strategy. When the company does well, we all do well. Equity is an important and exciting part of our total compensation strategy as a pre-IPO startup. We’re guided by the belief our team members should share in the financial success of our company and grant equity accordingly.

Flexible PTO: All regular salaried team members enjoy flexible PTO. We want team members to grow with us, and a big part of that is making sure our team has the opportunity to rest and recharge. We also observe 12 paid holidays every year.

Generous Healthcare Coverage for You and Your Family: Taking care of our team goes beyond the office. In the US, we cover 100% of employee health care premium costs, and up to 100% for dependents, depending on the plan. Internationally, we offer similarly generous coverage, customized to each country in which we operate.

Fully Distributed Workforce: Operating as a globally-distributed, majority remote company means we get to work with talented folks, no matter where they live. We prioritize a balance of deep focus time with Zoom meetings and regular in-person events. As a fast-growing startup, we continuously review, improve, and personalize our benefits offerings based on the team’s input. Don’t see something that’s important to you? Let us know!

Inclusion Matters

Abnormal Security is committed to creating a diverse work environment. All qualified applicants will receive consideration without regard to race, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.