Software Engineer 2

Location: Hybrid - Bangalore, India

Department: Division Foundations

The Opportunity

Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern enterprises from advanced email attacks, account compromise, and human-targeted threats. Our products help security teams detect sophisticated attacks, investigate risk quickly, and automate response at enterprise scale.

We’re building a team of strong engineers who are excited to use modern AI development tools to build faster, make better decisions, and ship high-quality software with more leverage.

We’re looking for a Software Engineer II - Backend to join our Customer Journey Team. This is an opportunity to work on core backend systems that shape how customers get onboarded onto the Abnormal platform—making the process smoother, faster, more automated, and increasingly self-serve.

The Customer Journey team builds the product and platform experiences that help customers get onboarded quickly and successfully. We solve onboarding problems by reducing manual work, improving reliability, and making complex setup flows easier for customers and internal teams. The team owns the workflows, automation, and visibility needed to move customers from initial setup to full activation. As a SWE2, you will build scalable systems and user experiences that improve onboarding quality, speed, and time-to-value.

If you’re excited by backend engineering, large-scale distributed systems, high-reliability services, and AI-augmented development, this is a high-impact opportunity to help shape a foundational part of Abnormal’s customer experience.

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.

Ready to be part of AI transformation at Abnormal Security? Apply Now!

Once you apply, you’ll be invited to our AI-Augmented Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!