Software Engineer 2
Abnormal Security · Bangalore, India (Hybrid) | India (Hybrid) · Human Security Products
About this role
Abnormal Security is hiring a mid-level Software Engineer based in Bangalore, India (Hybrid) | India (Hybrid) (hybrid). The posting calls out experience with Python, Go, AWS, GCP.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India (Hybrid) | India (Hybrid)
- Work mode
- Hybrid
- Department
- Human Security Products
More roles at Abnormal Security
Job description
from Abnormal Security careersThe 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.