Senior Software Engineer - Attack Detection

Abnormal Security Corporation; Canada; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading cybersecurity company seeks a Senior Software Engineer for their Attack Detection team. This role involves building a high recall Detection Engine using advanced ML techniques. Collaborate with cross-functional teams to enhance security measures, mentor junior engineers, and contribute to innovative projects in a flexible, remote work environment.

Benefits

Flexible PTO

Generous Healthcare Coverage

Equity in the Company

Qualifications

• 5+ years of experience as a hands-on engineer building data-oriented products.
• Experience with real-time, high-throughput & low-latency distributed systems.

Responsibilities

• Architect, design, build, and deploy backend services for a Detection Engine.
• Coach and mentor junior engineers through code reviews and pair programming.

Skills

Collaboration

High Standards

Education

BS degree in Computer Science

Tools

Python

Go

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 the 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 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 (eg. presence of particular phrases), sender-level (eg.frequency of sender) and recipient level (eg.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
• Owning 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 1on1s, 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 cyber security industry

#LI-RT1

Export Compliance Notice:

This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization.The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions. As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. 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 committed to protecting your privacy. Please review our Abnormal AI Applicant Privacy Policy for full information about how Abnormal AI uses your personal information. By submitting an application you confirm that you have read and understand the Abnormal AI Applicant Privacy Policy .

About Abnormal AI

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 put 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!

Our Interview Process

We value transparency at Abnormal, and our interview process is no exception.

Inclusion Matters

Abnormal 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.

Privacy Policy

Learn more about Abnormal's Privacy Policy here .

We have been made aware that there are potential scammers posing as Abnormal AI recruiters. Please ensure that any communication you have with our recruitment team comes from an official Abnormal email domain. Your safety and privacy are important to us, and we will never request sensitive personal information outside of our secure application process. Thank you for helping us maintain a secure and trustworthy application experience. Should you encounter what you believe to be a scamming attempt at any time in your recruiting process, please let us know at [e-mail]