Senior Software Engineer, Adaptive Classification Team
About the Role
Abnormal AI is looking for a Senior Software Engineer to join the Adaptive Classifications Team. The team owns & operates Abnormal’s AI Security Mailbox and Detection 360 products. The team’s goal is to automate security analysts' workflows by providing them with reliable, intuitive, and delightful agentic products that give them back time in their day.
This is a full-stack team responsible for all layers, including data storage, detection efficacy, backend, and frontend. The ideal candidate will have worked across the stack and have in-depth knowledge about backend systems, distributed computing, and event-driven architecture.
What you will do
- Work with the Engineering Manager & Product Manager to craft the roadmap for the ACT team.
- Lead and architect Software Projects critical to Abnormal’s success with a team of engineers through conception, design, implementation, launch & operation.
- Provide guidance and mentorship for junior members of the team
- Collaborate with Technical Program Managers, Product Managers, and Go-To-Market teams in order to implement, verify, and iterate on the issues & requests coming from our customers
- Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team, and participating in professional development activities.
- Grow into a tech lead role for the AI Security Mailbox product
- Own key deliverables from e2e within our division's quarterly roadmap and a subset of the key divisional SLAs/SLOs
- Provide direct leverage for the team by architecting and owning AI-native workflows to eliminate team toil.
Must Haves
- BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field
- 5+ years of industry experience on backend web development & distributed systems, designing & building software applications
- Experience working individually as well as in groups on a regular basis
- Experience working with distributed teams, proficient in asynchronous and written communication
- Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
- Expert with Python and/or Go
- Proficient and bullish about AI tools such as Cursor, Claude, and other AI native workflows
- You’re growth-driven & looking to increase impact & responsibility over time
Nice to Have
- Experience with our stack: Python, Go, AWS, Kubernetes, Django, Celery, Kafka, Prometheus, Postgres/MySQL
- Experience with frontend frameworks, particularly React.js
- Tech Lead Experience
- Familiarity with AWS services and deployment practices.
- Startup or Cybersecurity Experience
- MS degree in Computer Science, Electrical Engineering, or other related engineering field
#LI-PP1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
AI and our hiring process
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.
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.
Export Compliance Notice:
This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization.
The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions.
As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is committed to protecting your privacy. Please review our Abnormal AI Applicant Privacy Policy for full information about how Abnormal AI uses your personal information. By submitting an application you confirm that you have read and understand the Abnormal AI Applicant Privacy Policy.
Apply for Senior Software Engineer, Adaptive Classification Team
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Compensation Disclaimer: The base salary range for this position is dependent on the candidate's experience, skills, qualifications, and location. The actual offer may vary. In addition to base salary, this role is eligible for equity, annual bonus, and benefits.
Equal Employment Opportunity: Abnormal Security is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Privacy: By submitting your application, you agree to the processing of your personal data in accordance with our Privacy Policy.