Full-Time

Software Engineer II

MADE / Detection

Posted on 5/14/2024

Abnormal Security

Abnormal Security

501-1,000 employees

AI-based email and collaboration security platform

AI & Machine Learning
Cybersecurity

Mid

Remote in Canada

Required Skills
Python
Airflow
Apache Spark
Postgres
Django
Requirements
  • Experience in Python, Spark, Databricks, Airflow, Django, Postgres
  • Experience building data pipelines using PySpark
  • Experience in “large-scale” solutions or environments with complex integrations, latency requirements, or throughput challenges.
  • Performance debugging and benchmarking
  • Proven experience translating business requirements into software requirements and explaining the systems design
  • Proven experience working effectively with cross-functional teams
  • BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
  • 2+ years of professional production experience in fullstack development
Responsibilities
  • Enhance the speed and quality of detection systems development.
  • Power pipelines to process and respond to customer feedback responsibly.
  • Supply detection teams with top-notch, accurate data used for evaluating and training ml models.
  • Automate processes to improve customer responses.
  • Develop, design, modify, and test systems for enhanced data quality and understanding.
  • Collaborate with Technical Program Managers, Product Managers, Data Engineers, Data Scientists, and operational and engineering teams to implement, verify, and iterate on product development.
  • Exercise sound judgment in selecting methods and techniques for problem-solving.
  • Writes code with testability, readability, edge cases, and errors in mind.
  • Writes and reviews technical design documents.

Abnormal Security provides a cloud-native email security platform, leveraging AI-based behavioral anomaly detection to prevent a wide range of email attacks. Working here offers exposure to cutting-edge technology in a critical area of cybersecurity, protecting collaboration platforms from advanced threats. Its trusted adoption by over 10% of the Fortune 500 highlights its strong industry position and commitment to major enterprise security.

Company Stage

Series C

Total Funding

$374M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

19%

1 year growth

29%

2 year growth

52%

Benefits

Competitive pay and equity

One of the most proven machine learning teams in Silicon Valley

Best-in-class customer traction and growth

Team-wide commitment to excellence, velocity, and customer-focus

Strong growth opportunities and high ownership expectations

Full medical, dental, and vision health insurance benefits

Daily catered lunches and snacks

Generous PTO