Software Engineer II - Detection

Summary

Join our team as a Software Engineer II to build and manage the foundational infrastructure for our inbound email security product, collaborating closely with ML Engineers, Data Scientists, and fellow Software Engineers.

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

Responsibilities

• Standardize overall message detection flow and decisioning logic
• 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

Preferred Qualifications

• 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