Abnormal

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Software Engineer 2 - Message Security Detection

Software EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000

Location

United States

Posted

9 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As a Software Engineer II on our team, you will face the exciting challenge of building and managing the foundational infrastructure that drives detection for our inbound email security product. This infrastructure needs to be scalable, extensible, and user-friendly.

  • Standardize overall message detection flow and decisioning logic to allow infrastructure to scale with an increasing number of customers, messages, signals, and detectors
  • Build tooling and infrastructure that will enable engineers to push changes confidently and safely
  • Develop tools and mechanisms that provide insight into detection efficacy and generate actionable steps to maintain high performance
  • Guarantee seamless integration with other Abnormal products (e.g., Abuse Mailbox) and present detection outputs through a standardized interface for use by other Abnormal solutions
  • Write code with testability, readability, edge cases, and errors in mind, biasing towards simple iterative solutions
  • Write and review technical design documents
  • Participate in Sprint planning, code reviews, standups, and other aspects of the software development life cycle

Qualifications

  • 2+ years experience designing and building software applications
  • Experience with large scale systems with an emphasis on data intensive applications that require high availability, throughput, and low latency
  • Experience with SQL and NoSQL databases such as PostgreSQL, DynamoDB, Redis, etc.
  • Experience debugging using log analytic tools, metrics, and other signals
  • Proven experience translating business requirements into software requirements and delivering high quality implementations
  • Strong ability to independently solve complex problems
  • Ability to work effectively with cross-functional teams
  • BS degree in Computer Science, Software Engineering, Information Systems or other related engineering field

Requirements

  • Experience with Go and Python
  • Experience in the cybersecurity industry, financial fraud, application security, or related industries
  • Experience with big data, statistics, and Machine Learning
  • Experience with Airflow, Kubernetes, Kafka, Spark, Pandas
  • Experience with algorithms and optimization

Benefits

  • Certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits
  • Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons
  • Base salary range: $148,800 — $175,050 USD

Company Description

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Job Requirements

  • 2+ years experience designing and building software applications
  • Experience with large scale systems with an emphasis on data intensive applications that require high availability, throughput, and low latency
  • Experience with SQL and NoSQL databases such as PostgreSQL, DynamoDB, Redis, etc.
  • Experience debugging using log analytic tools, metrics, and other signals
  • Proven experience translating business requirements into software requirements and delivering high quality implementations
  • Strong ability to independently solve complex problems
  • Ability to work effectively with cross-functional teams
  • BS degree in Computer Science, Software Engineering, Information Systems or other related engineering field
  • Experience with Go and Python
  • Experience in the cybersecurity industry, financial fraud, application security, or related industries
  • Experience with big data, statistics, and Machine Learning
  • Experience with Airflow, Kubernetes, Kafka, Spark, Pandas
  • Experience with algorithms and optimization

Benefits

  • Certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits
  • Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons
  • Base salary range: $148,800 — $175,050 USD

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