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Bengaluru, Karnataka, India
Hybrid
We are building the high-throughput, low-latency infrastructure that powers our real-time threat detection capabilities. This isn't just about maintaining stable backend systems; it’s about architecting a cutting-edge data platform at massive scale to turn raw data into high-fidelity, actionable intelligence for our ML models and security researchers.
As a Tech Lead (SWE-3) on this team, you will be our technical anchor and force multiplier. You will own the architectural blueprint for our distributed data pipelines (Spark/Airflow) and cloud-native infrastructure (AWS/EKS), bridging the gap between complex system design and strategic execution. Beyond traditional engineering, you will lead by example spearheading our AI productivity initiatives to supercharge how our entire engineering team builds, tests, and ships software. If you are passionate about deep technical ownership, mentoring the next generation of engineers, and defining the future of our data ecosystem, this is your mission.
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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.