About the company
At Abnormal AI, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security.
Abnormal is recognized as a top cybersecurity startup (Leader in the 2025 Gartner Magic Quadrant for Email Security Platforms), securing a Series D funding of $250 million at a $5.1 billion valuation in August 2024.
About the team
The team is responsible for the ownership, development, and operation of the infrastructure and ML models, customer facing APIs and internal tools that drive Abnormal's Account Takeover (ATO) protection product. This product is crucial for detecting malicious activity and safeguarding customers from account theft.
Responsibilities
- Design, build, and iterate on scalable backend and ML systems, APIs, frameworks, and internal tools
- Own end-to-end delivery of complex features that directly impact customer experience.
- Ensure stability, reliability, and operational excellence of critical systems.
- Write clean, testable, and resilient code with attention to edge cases and performance.
- Write and review technical design documents and influence adoption across the team.
- Participate in code and design reviews, and contribute to on-call rotations.
- Collaborate with product managers, designers, and engineers to align on specifications and priorities.
- Break down complex projects into clear executable steps and drive them to completion.
- Actively contribute to roadmap discussions and propose long-term technical plans.
- Communicate effectively in an async-first environment, providing clarity on updates, challenges, and solutions.
- Mentor peers, share knowledge, and influence engineering practices across the team.
Requirements
- 7+ years of industry experience, with proven expertise as a Senior Software Engineer.
- Strong backend proficiency in Python, with experience designing and scaling production systems.
- Proven experience with large scale system design, building resilient, scalable, and fault-tolerant applications.
- Strong knowledge of relational databases and modern data storage technologies.
- Familiarity with service-to-service communication (gRPC, Kafka) and caching (Redis).
- Experience with AWS cloud services (S3, RDS) and deployment practices.
- Familiarity with containerization and orchestration (Docker, Kubernetes, Helm).
- Strong understanding of service health, monitoring, and incident response practices.
- Experience writing technical design documents and influencing adoption across teams.