abnormalsecurity · Hybrid - Bangalore, India
Skills: Python, Docker
At Abnormal AI, we’re building the infrastructure that powers our AI-native cybersecurity platform, which protects the world’s largest enterprises from sophisticated attacks. The Platform & Infrastructure (PI) division provides the core systems that enable all Abnormal products to operate reliably, at scale, and with high performance. You’ll join a team that owns critical services in cloud infrastructure, data platforms, observability, and development tooling. What We’re Looking For: ● Ownership & Impact: You’re growth-oriented, take ownership of your work, and are eager to make a significant impact. ● Continuous Learner: Looking to grow as an engineer as part of a strong team, learning from established engineers, product managers, and designers. ● Strong Communicator: You excel in communication, with the ability to workautonomously and asynchronously with different teams. Must Have Skills ● 2+ years of experience as a software engineer with a strong foundation in coding and problem-solving. ● Hands-on experience in backend development using Python , with exposure to cloud-native environments. ● Solid understanding of databases, REST APIs, and data pipelines . ● Famil …truncated… , and logging to ensure system health and performance at scale. LI-FS1 A note on AI in our 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 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. 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…
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