Software Engineer II - Full Stack

Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern enterprises from sophisticated email, collaboration, and identity-based threats. Our engineering teams build reliable, scalable products that help security teams understand risk, investigate threats, and respond with confidence.

We are looking for a Software Engineer II, Full Stack to join our Identity Platform team in India. The team builds the identity data and platform capabilities that power detection-engine decisions, customer-facing identity insights, and APIs used across Abnormal’s products.

In this role, you will work across the stack, with a meaningful focus on frontend engineering and modern web experiences. You’ll also contribute to scalable backend services and distributed systems, taking ownership of features from design through production. You’ll partner closely with product managers, designers, and engineers across teams to solve meaningful customer problems and deliver secure, intuitive experiences.

Direct cybersecurity experience is not required. We value strong engineering fundamentals, product thinking, ownership, and the ability to learn quickly.

• →Design, build, test, and operate customer-facing full-stack features across frontend applications, APIs, and backend services.
• →Develop intuitive, high-quality web experiences with strong attention to usability, performance, accessibility, and UI/UX fundamentals.
• →Build scalable backend services and data access patterns that support identity insights and detection-engine workflows.
• →Own well-scoped projects end to end—from clarifying requirements and designing technical approaches to implementation, rollout, monitoring, and continuous improvement.
• →Work with distributed systems, cloud infrastructure, and event-driven or messaging-based architectures to support reliable product experiences at scale.
• →Collaborate with product managers, designers, and partner 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 responsibilities, investigate issues, and improve system reliability and observability.
• →Use AI-assisted development tools thoughtfully to accelerate delivery while maintaining strong technical judgment and code quality.

• 3+ years of professional software engineering experience, with experience building and operating production web applications.
• Strong full-stack development experience, including meaningful frontend contributions and solid backend fundamentals.
• Proficiency in a modern frontend framework, preferably React, and strong foundations in JavaScript or TypeScript, HTML, and CSS.
• Experience building backend services and APIs using Python, Go, Java, or a comparable language.
• Strong understanding of computer science fundamentals, data structures, algorithms, testing, debugging, and software design.
• Experience with cloud platforms such as AWS and familiarity with containerization and deployment practices, including Docker and Kubernetes.
• Experience working with relational or NoSQL databases and writing efficient, maintainable data access logic.
• Ability to take ownership of projects, communicate clearly, collaborate across teams and time zones, and make pragmatic technical decisions.

• Experience with distributed systems, event-driven architectures, Kafka or equivalent messaging technologies.
• Familiarity with React ecosystem tools such as Redux or Next.js.
• Experience with Django, Django REST Framework, or similar backend web frameworks.
• Experience building security, identity, SaaS, analytics, or other data-intensive products.
• Experience improving observability, reliability, performance, or operational tooling in production systems.
• Familiarity with AI-assisted software development workflows.

Abnormal AI is committed to building an inclusive workplace where talented people from different backgrounds can do the best work of their careers. We evaluate candidates based on skills, experience, potential, and alignment with the role.

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