Software Engineer II - Full Stack_Identity Platform

Abnormal · Hybrid - Bangalore

Posted 8/18/2026 · last confirmed live 8/26/2026

Software Engineer II, Full Stack Location: India — Hybrid About Abnormal AI 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. About the Role We are looking for a Software Engineer II, Full Stack to join our Identity Platform team in India. The team owns  the identity graph and data capturing relationships between people, groups, tenants and apps and platform capabilities that can be leveraged as Intelligence by 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. What You’ll Do Own and develop data-rich, consumer-grade, user interfaces and APIs showcasing the breadth of Abnormal’s knowledge, compiled from many different sources, about a user’s normal patterns as well as those which might indicate something abnormal is going on.  Build the user interface that allows customers and internal agents to debug particular attacks Build a framework and specification for quickly adding new data sources. Obsessively partner with our customers to gather their feedback and quickly iterate to improve our systems - example - help resolve False Positive/False Negative or integration issues.  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. Must-Have Qualifications 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. Nice-to-Have Qualifications 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. Why Join Us Build products that protect enterprises from evolving cyber threats and help customers make better security decisions. Work on high-impact, customer-facing systems at the intersection of AI, security, distributed systems, and modern web applications. Take meaningful ownership while learning from experienced engineers, product managers, and designers. Grow your technical scope and impact in an AI-native engineering organization. Join a collaborative team that values curiosity, intellectual honesty, customer obsession, velocity, and ownership. Equal Opportunity 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. A note on AI in our process:  Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. 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 .

This role is published by Abnormal on greenhouse. SwiftFit is not the employer and does not accept applications.