Sr. Software Engineer (DSS Scoring Infrastructure)

About You

As a senior software engineer on Detection Serving & Signals, focused on our Scoring Infrastructure, you will be responsible for developing and owning the ML scoring services which allow for the operation of the abnormal Detection engine.

We are looking for software engineers with the following qualities:

• A “principle-first” approach to building scalable, customer-centric solutions
• A "mission-first" drive to solve meaningful & pragmatic problems for real-world people
• An "ownership" & "impact" oriented outlook on your efforts and growth
• An ability to iterate in real-time - solving novel problems, quickly and autonomously

 

In this job, you will bring these skills

• Role-specific skills:
• Ability to use Python and/or Go in development
• Familiarity with developing in a Cloud Native architecture, particularly experience with AWS and Azure
• Familiarity with distributed serving frameworks and related technologies: e.g. Gunicorn Thrift, Finagle Thrift, Protobuf 
• Experience with stream-processing technologies: Kafka, Spark structured streaming
• Nice-to-have: Experience with ML open source libraries such as Tensorflow, Pytorch, ONNX
• Nice-to-have: Experience developing MLOps architecture, such as Feature Stores and ML inference engines

Role Responsibilities

• • • Architect, design, build, and deploy real-time backend scoring services that support the Detection engine
    • Drive successful adoption and feedback-gathering of Scoring Infra solutions across MLE teams
    • Function as Feature lead for projects that require mentoring or leading 1+ other engineers
    • Collaborate closely with MLE (Message Detection, Cloud Unity) to identify pain points and use-cases and incorporate into a multi-month roadmap for ownership areas
    • Collaborate with Platform & Infrastructure teams to identify & execute on directionally correct ways of scaling out Detection infra and the technologies we should be adopting

About Abnormal Security

We’re the world’s fastest-growing cybersecurity company, dedicated to making the world a safer place, one inbox at a time. Through applying ML, AI, and behavioral data science to the cybersecurity space, we’re leading the charge on protecting the modern workplace from all types of attacks. We operate from a customer-obsessed mindset, dedicated to creating a best-in-class product that delivers on its promise, and our customers love us for it. 

We take the same approach with our team as we do with our customers. We’re committed to designing an employee experience that provides interesting and challenging problems to work on in a supportive, low-ego environment. Our seasoned, successful leadership team is passionate about providing endless opportunities for every team member to learn and grow, and our entire company is committed to being 1% better every day. With 4.9 stars on Glassdoor and several recently announced workplace awards, our team thinks it’s going pretty well so far!

We know that it’s our team that makes us successful - and we’re just getting started! You can read more about our team here.

Our Values

Far from gathering dust in some forgotten corner, our values serve as our operating principles for every team member. We clearly define what values drive us, so our entire team works from the same foundation and understanding. From the CEO to the interns, all of us are held accountable to our VOICE Framework.

Our Benefits

Taking care of our team goes beyond the office. Our compensation and benefits philosophy is designed to put attract, motivate, and retain top talent:

Compensation targeted to the 75th percentile (for both base salary and equity)

If we want top performers to join and stay with us, we need to pay accordingly. We pay at the 75th percentile (for both base salary and equity) of our competitive market, and we benchmark to higher cost of living citi