Software Engineer II - Full Stack

Abnormal; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Abnormal AI in Bengaluru, India, is seeking a Software Engineer II, Full Stack to join our Identity Platform team. The role focuses on frontend engineering and scalable backend services, delivering secure, intuitive experiences.

You will collaborate with product managers, designers, and engineers across teams to solve meaningful customer problems, write clean code, and participate in on-call and production support to ensure reliability.

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.

Responsibilities

• 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 judgement and code quality.

Skills

Full-stack

Frontend focus

JavaScript/TypeScript

Python/Go/Java

AWS

Docker/Kubernetes

Databases

Ownership

Tools

Docker

Kubernetes

PostgreSQL/MySQL

Job description

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 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.

What You’ll Do

• 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 judgement 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.

#LI-FS1

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.