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Abnormal Security

Software Engineer 2 - Backend - Platform & Infrastructure

Reposted 8 Days Ago
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In-Office
Bangalore, Bengaluru, Karnataka
Mid level
In-Office
Bangalore, Bengaluru, Karnataka
Mid level
As a Software Engineer II, you will build data-driven applications, leverage AI tools, develop scalable systems, and collaborate with Fortune 500 enterprises to combat cyber threats.
The summary above was generated by AI
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 as a Software Engineer II

As part of our engineering team, you will:

Leverage AI-powered Development – Use Cursor, Copilot, and other AI tools to enhance productivity, optimize workflows, and automate repetitive tasks.
Develop Data-Driven Applications – Build consumer-grade interfaces and APIs that power our advanced behavioral AI insights.
Combat Modern Cyber Threats – Design and deploy secure, scalable systems that detect and prevent sophisticated cyberattacks.
Collaborate with Fortune 500 Enterprises – Work with customers and security teams to rapidly iterate and deliver impactful solutions.
Build at Scale – Design backend services and cloud architectures that support billions of security events across enterprises worldwide.

Technical Requirements

We’re looking for engineers who have:

  • 3+ years of professional experience working on data-intensive applications and distributed systems. This is not a Data Engineering role.
  • Backend development experience with Python or Go.
  • Depth in at least one key area of the data platform tech stack - batch processing, streaming systems, data orchestration, data infrastructure.
  • Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.
  • Experience / passion in building scalable, enterprise-grade applications.
  • Experience with any big data technologies such as Spark or Databricks or Trino or Kafka/Hadoop etc. 
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong fundamentals in computer science, data structures, and performance optimization.
Why Abnormal AI?

🔹 Work on AI-native Security Solutions – Build real-world AI-powered applications that protect enterprises from evolving cyber threats.
🔹 Leverage AI to Accelerate Development – We encourage AI-assisted coding to enhance creativity, eliminate grunt work, and boost engineering velocity.
🔹 Solve Complex Challenges at Scale – Work on high-volume, distributed systems processing billions of security signals.
🔹 Join a High-Caliber Team – Collaborate with industry-leading engineers, AI researchers, and security experts.
🔹 Impact Fortune 500 Enterprises – Build solutions that secure the world’s largest companies from sophisticated cyber attacks.

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

Once you apply, you’ll be invited to our AI-powered 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!

#LI-AB2

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Top Skills

AWS
Azure
Databricks
Docker
GCP
Go
Hadoop
Kafka
Kubernetes
Python
Spark
Trino

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