Software Engineer 2 (Cybersecurity)

TL;DR

Middle Software Engineer (Cybersecurity): Building and managing foundational infrastructure for an inbound email security product with an accent on scalability, extensibility, and fault-tolerance. Focus on standardizing message detection flow, developing tooling for safe changes, and ensuring seamless integration with other Abnormal products.

Location: Remote from Canada

Company

hirify.global is a cybersecurity startup safeguarding large enterprises against email attacks using a novel behavioral AI system, trusted by over 15% of Fortune 500 companies.

What you will do

• Standardize overall message detection flow and decisioning logic to scale with increasing customers, messages, and signals.
• Build tooling and infrastructure that enables engineers to push changes confidently and safely.
• Develop tools and mechanisms to provide insight into detection efficacy and generate actionable steps.
• Guarantee seamless integration with other Abnormal products and present detection outputs through a standardized interface.
• Write code with testability, readability, edge cases, and errors in mind, biasing towards simple iterative solutions.
• Write and review technical design documents, and participate in the software development life cycle.

Requirements

• 2+ years experience designing and building software applications.
• Experience with large-scale, data-intensive systems requiring high availability, throughput, and low latency.
• Experience with SQL and NoSQL databases such as PostgreSQL, DynamoDB, Redis.
• Experience debugging using log analytic tools, metrics, and other signals.
• Proven experience translating business requirements into high-quality software 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, or application security.
• Experience with big data, statistics, and Machine Learning.
• Experience with Airflow, Kubernetes, Kafka, Spark, Pandas.
• Experience with algorithms and optimization.

Culture & Benefits

• Thrilling mission to safeguard the world's largest enterprises against relentless email attacks.
• Collaborate closely with ML Engineers, Data Scientists, and fellow Software Engineers.
• Work on innovative behavioral-based AI systems to outwit traditional email security approaches.
• Contribute to foundational infrastructure directly influencing product success.
• Committed to being an equal opportunity employer.