Design, build, test, and operate customer-facing full-stack features across frontend applications, APIs, and backend services.
Develop high-quality web experiences with attention to usability, performance, accessibility, and UI/UX fundamentals.
Build scalable backend services and data access patterns supporting identity insights and detection-engine workflows.
Own projects end to end from requirements clarification and technical design through implementation, rollout, monitoring, and continuous improvement.
Work with distributed systems, cloud infrastructure, and event-driven or messaging-based architectures.
Collaborate with product managers, designers, and engineering teams to define interfaces, make trade-offs, and deliver customer value.
Write maintainable code, automated tests, documentation, and operational runbooks; participate in code reviews and design discussions.
Participate in on-call and production support, investigate issues, and improve reliability and observability.
Use AI-assisted development tools thoughtfully while maintaining technical judgment and code quality.
Requirements
At least 3 years of professional software engineering experience building and operating production web applications.
Strong full-stack development experience with meaningful frontend contributions and solid backend fundamentals.
Proficiency with a modern frontend framework, preferably React, plus JavaScript or TypeScript, HTML, and CSS.
Experience building backend services and APIs using Python, Go, Java, or a comparable language.
Strong foundations in computer science, data structures, algorithms, testing, debugging, and software design.
Experience with AWS and familiarity with containerization and deployment practices using Docker and Kubernetes.
Experience with relational or NoSQL databases and efficient, maintainable data access logic.
Ability to own projects, communicate clearly, collaborate across teams and time zones, and make pragmatic technical decisions.
Preferred experience includes distributed systems, event-driven architectures, Kafka or equivalent messaging technologies, Redux, Next.js, Django, Django REST Framework, observability, reliability, performance, operational tooling, or AI-assisted software development workflows.
Benefits
Opportunity to build customer-facing cybersecurity products protecting enterprises from evolving threats.
Work with experienced engineers, product managers, and designers in a collaborative AI-native organization.
Meaningful ownership, technical growth, and exposure to AI, security, distributed systems, and modern web applications.
Role is based on the Identity Platform team in India.
Abnormal Security
Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.