Software Engineer 2 - Abnormal Security

The Opportunity

Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. We’re building a team of top-tier engineers who are excited to use Generative AI tools like Cursor, GitHub Copilot, and Claude to redefine how software is built—faster, smarter, and more efficient.
We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you’re passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity.

What You’ll Do

• Abnormal’s engineering expectations emphasize strong judgment in using AI to explore solutions, refine outputs, and deliver reliable production outcomes.
• Leverage AI-Augmented Development to enhance productivity, optimize workflows, and automate repetitive tasks.
• Build backend services and workflows that make POV onboarding smoother, quicker, and more self-serve for customers.
• Design scalable systems that provide end-to-end visibility across onboarding processes and reduce dependency on downstream modules.
• Develop and improve core backend systems across tenant management, onboarding orchestration, setup tooling, and command center experiences.
• Collaborate with strong engineers and cross-functional partners to deliver impactful solutions for customers and internal teams.
• Build reliable APIs and backend architectures that support enterprise-grade onboarding workflows at scale.
• Take ownership of features end-to-end, from design and implementation through testing, rollout, and production validation.

Must Haves

• 3+ years of professional experience in software development.
• Backend development experience with Python and/or Golang.
• Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
• Experience or passion for building scalable, enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, data structures, debugging, and performance optimization.

Nice to Have

• Experience building onboarding, provisioning, workflow orchestration, or platform automation systems.
• Familiarity with backend systems that provide process visibility, status tracking, or operational tooling.
• Experience with distributed systems, service-oriented architectures, or event-driven workflows.
• Exposure to tenant lifecycle management, setup automation, or enterprise SaaS platform workflows.
• Experience improving service reliability, resiliency, and observability in production systems.
• Experience working on cybersecurity, enterprise SaaS, or customer-facing platform products.

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