Software Engineer 2 - Message Security Detection

Software Engineer II – Message Security Detection

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. You will collaborate closely with ML Engineers, Data Scientists, and fellow Software Engineers to minimize risk and impact of efficacy degradation caused by uncontrollable factors. Your efforts will ensure our inbound email security product is fault‑tolerant and resilient against outages. Your contributions will directly influence the success of our Email Security product and Abnormal as a whole.

What you will do

• Standardize overall message detection flow and decisioning logic and allow our 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, stand‑ups, and other aspects of the software development life cycle.

Must Haves

• 2+ years of experience designing and building software applications.
• Experience with large‑scale systems emphasizing 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.

Nice to Have

• 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.

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. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Seniority Level

Entry level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Computer and Network Security