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Software Engineer 2 - Product Essentials

Abnormal AI - Bangalore, KA, India - Hybrid - posted 2026-09-22

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Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. As a Software Engineer II, you will build and harden the platforms behind every notification, LLM call, and language feature the company delivers. You'll take deep production ownership of systems operating at real scale, with a direct say in their evolution. In this role, you will leverage AI-powered development tools (Cursor, GitHub Copilot, Claude) to enhance productivity and automate repetitive tasks. You'll develop data-driven applications and consumer-grade interfaces that power advanced behavioral AI insights. You'll design and deploy secure, scalable systems that detect and prevent sophisticated cyberattacks, collaborating with Fortune 500 enterprise customers and security teams to rapidly iterate and deliver impactful solutions. You'll build backend services and cloud architectures that support billions of security events across enterprises worldwide. The team emphasizes AI-assisted coding to enhance creativity, eliminate grunt work, and boost engineering velocity. You'll work on high-volume, distributed systems processing billions of security signals, collaborating with industry-leading engineers, AI researchers, and security experts to build solutions that secure the world's largest companies from sophisticated cyber attacks. REQUIREMENTS: - 3+ years of professional experience in software development - Backend development experience with Python, TypeScript, or Go - Strong fundamentals in computer science, data structures, and performance optimization - Production experience building or operating gRPC or REST APIs - Comfort debugging distributed systems failures (retries, timeouts, queueing, race conditions, connection pooling, etc.) - Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude - Experience or passion in building scalable, enterprise-grade applications - Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

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