Avatar for Abnormal Security
Next Generation Enterprise Email Security
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • +2

Detection - Backend Engineer (All Levels)

Posted: 2 years ago
Visa Sponsorship

Available

Hires remotely in
RelocationAllowed

About the job

About Abnormal Security

User’s and companies are constantly under attack but Abnormal Security’s team and patented, ML-first, approach is redefining cloud security for the next generation. Our incredible team needs your help to keep ahead of the evolving threats facing the world.Our solutions help our customers protect their customers; as well as preventing direct losses and saving internal security teams’ time/headache. And our unique insights into: a user’s behaviors, their communication content, plus countless other real-time signals; help us detect, and mitigate, complex & adversarial attacks. We’re able to deliver these accurate and real-time capabilities with exceptional user experience and best-in-industry customer support. Our customers regularly refer new customers (and sometimes even join our team!), a sentiment echoed by exceptional customer reviews. We’ve built a world class team that combines exceptional engineers, serially-successful leaders, and security-industry veterans to build one of the most exciting companies in the industry. Come see what makes us so Abnormal!

Team & Work Summary:

Our Detection team powers our core ML/AI capabilities we leverage to detect and mitigate attacks. If you love challenging yourself - you’ll find our scale (1M+ QPS,10x YoY scale), sub-100ms latency constraints, high accuracy & precision requirements, and the “adversarial” nature of our technical problems will keep you constantly learning!

As a backend engineer on this team you could be tackling work on our data platforms or streaming infrastructure, or building high-throughput microservices in a distributed cloud environment to support green field products. You could also be improving the efficiency of our ML teams or real-time systems, enhancing our model serving architecture, delivering the next-generation of our training/retraining systems, or building the feature extraction systems that will help create new predictive models.

Who You Are:

  • You take a “principle-first” approach to building scalable, customer-centric solutions
  • You’re looking for a “mission-first” company aiming to solve meaningful and pragmatic problems
  • You’re looking to take ownership of your work and your growth
  • You typically move quickly and autonomously, iterating on your learnings in real-time

We’re hiring experienced engineers [all levels], for needs across multiple “Detection” teams.

To qualify, you’ll need:

  • At least 2 years of production backend engineering experience
  • Experience with scalable and performant cloud-native distributed systems
  • To work in Python (and/or Go)
  • Strong Computer Science fundamentals

“Bonus Points” if you have:

  • Strong experience with ML & Big Data technologies, like Spark, Hadoop, Kafka, Flink, etc.
  • Bring “Domain Expertise” building: anomaly detection systems, email security solutions, or working on anti-abuse, Privacy, or Trust & Safety teams
  • Been building systems to support Machine Learning Engineers and/or Data Scientists
  • Working on data ingestion pipelines, stream processing, data workflows, or other “data-centric” engineering challenges
  • You’d like to use your scalable, backend engineering experiences to make a positive impact on our important Mission.

Why Abnormal?

We’re on a serious mission to “protect the internet” and we’re adamant that building a great team will help us build a great product AND a great company! In addition to ensuring our compensation packages and benefits remain compelling to the caliber of talent we hire - we also seek to provide both clear career and personal growth opportunities. We’ve built a diverse and inclusive team that values the contributions and voice of all team members. Let’s chat about our team and opportunities - we’d love to show you just how GREAT being “Abnormal” can be!

About the company

Abnormal Security company logo
Next Generation Enterprise Email Security501-1000 Employees
Company Size
501-1000
Company Type
SaaS
Company Type
Enterprise Software Company
Company Type
Enterprise Security
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • Valuation $1B+
    This company has a valuation of $1B or more
  • Recently funded
    Raised funding in the past six months
Learn more about Abnormal Security image

Funding

AMOUNT RAISED
$74M
FUNDED OVER
2 rounds
Rounds
B
$50,000,000
Series B - Nov 2020+1

Perks

Medical/Dental/Vision
100% coverage for employees and 50% for dependents for Medical, Dental and Vision.
One Medical
Abnormal covers the cost of One Medical for all employees.
FSA
We offer a FSA program for employees that choose to set aside pre-tax dollars for healthcare expenses.
Great Parental Leave
12 weeks of paid maternity or paternity leave for all employees.
Great Equity Packages
We offer very competitive equity (ISOs) packages for most roles, allowing employees to share in Abnormal's long-term upside..
Unlimited PTO
All regular salaried team members enjoy unlimited 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 holidays every year.
Virtual Lunch Budget
Abnormal offers a monthly virtual lunch budget for all distributed employees.
Pre-tax Commuter Benefits
Employees can contribute up to $265/month pre-tax for public/mass transit.

Founders

Sanjay Jeyakumar
CTO • 3 years • 7 years
image
Evan Reiser
CEO • 3 years • 7 years
San Francisco
image
View the team image

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