---
title: 'Software Engineer 1 at Abnormal'
canonical: 'https://feeny.ai/job/software-engineer-1-abnormal-bengaluru-jj0d6eks2t95'
type: 'job'
last_seen: '2026-10-30'
---

# Software Engineer 1 at Abnormal

- **Company:** Abnormal
- **Location:** Bengaluru, India
- **Work type:** hybrid
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-10-30
- **Apply:** https://abnormal.ai/careers/jobs/8016939003?gh_jid=8016939003

## Job description

## About the Role

Enterprises of all sizes trust Abnormal's AI-native security products to stop cybercrime and protect critical communications, identities, and infrastructure in the cloud. Our products are data- and systems-intensive, operating at high scale across multiple clouds and regions.

As a Software Engineer I on our Message Security Products (MSP) team in Bengaluru, you will help build and run new email security products from the ground up. This is a hands-on, full-stack role with a strong backend focus. You will work alongside experienced engineers who provide direction and review, and you are expected to carry projects through to delivery. The role suits an engineer with a couple of years of experience who notices problems and builds solutions without being asked.

Our charter is expanding into new areas that build on Abnormal's core Email Security offering and serve a large customer base. This is a chance to join early and help shape what we build.

## What You'll Do

- Build and ship features across the stack for our new and expanding products, from design discussion through implementation, testing, and rollout. Most of your work will be backend services and APIs, with some UI work such as customer-facing views and internal tools.
- Take over projects and drive them end to end. Clarify requirements, break work into steps, write the code, and validate changes in test and production, with guidance from experienced engineers on the team.
- Build the data and state handling behind our products, such as gathering data from our core email security platform and running scheduled and background jobs.
- Keep what you ship reliable. Fix bugs, address bottlenecks, add tests and monitoring, and help debug production issues. You will learn incident-handling practices before joining the formal on-call rotation.
- Work with partner teams and stakeholders, including Product, security, customer-facing teams, and other engineering teams, so your changes fit the systems upstream and downstream of them.
- Use AI tools throughout your development loop for code, tests, documentation, and experiments, and learn to validate AI-generated output to a high engineering standard.
- Spot problems and build small solutions. When you see a gap in our workflow, tooling, or product, you raise it and prototype a fix.
- Share what you learn through clear documentation, runbooks, code reviews, and project write-ups, and take on larger and less defined work as you grow.

## What You Bring (Must-Have Skills)

- About 2 years of professional software engineering experience and a Bachelor's degree in Computer Science or a related field.
- Full-stack experience with a clear backend lean. You have worked on at least one UI project and one backend project. Backend experience is essential, and the role leans toward backend work.
- Backend development in Python and/or Go, including designing and building REST APIs.
- Working knowledge of relational databases.
- Hands-on experience with a cloud platform (AWS, GCP, or Azure) and with containers (Docker), plus exposure to Kubernetes.
- Solid computer science fundamentals: data structures, algorithms, the basics of distributed systems and performance, and clean, testable code.
- Awareness of production observability and reliability, such as logging, metrics, alerting, and debugging live systems.
- Working fluency with AI development tools such as Cursor, Copilot, and Claude.
- Initiative. You have spotted a problem and built a small solution without being asked, such as an internal tool, dashboard, portal, or automation wizard. Examples from work, open source, or personal projects all count.
- Ownership. You can take over a project and drive it to completion without close supervision.
- Clear communication. You can explain technical tradeoffs in writing and in conversation, and you are comfortable working with Product, security, and customer-facing teams.
- Interest in core engineering work. You want to build backend and frontend systems. This is not an AI agent or ML role, though you will have plenty of exposure to AI-assisted development.

## Nice to Have Skills

- Experience with state management and workflow orchestration systems such as Airflow, Temporal, or DAG-based pipelines.
- Exposure to messaging and queueing systems such as Kafka, RabbitMQ, SQS, or SNS.
- Familiarity with a modern frontend framework such as React.

## Why You'll Love It Here

- Early-stage ownership with senior support. Our charter is growing into new areas. You will help shape what we build while it is still taking shape and grow in scope as it does, working alongside experienced engineers.
- Real scaling problems. You will work on collecting data at volume from the core email security platform, managing workflow state for enterprise customers, and keeping customer-facing features reliable.
- Impact on customers. Your work helps organizations stay protected from sophisticated email attacks.
- An AI-native R&D organization. Abnormal's AI-Initiated Development approach goes well beyond using AI to write code. You will build the habits and judgment that define how strong engineers work in the AI era, with investment in tools, workflows, and training.
- A clear growth path. You get ownership suited to your level and room to take on larger projects and grow toward SWE 2 and beyond.

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](https://assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt9cbda641db7c0045/6a1e3d3a66aea075cd33e462/AAP_and_EEO_Statement.pdf). If you would like more information on your EEO rights under the law, please [click here](https://assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt4eb3a265cc7b1ca9/6a1e3d3bfe33e73c16ff026b/EEOC_Know_Your_Rights_Oct_30_2025.pdf).

## About Abnormal

## Company Overview
- **One-liner**: Abnormal Security uses behavioral AI to autonomously detect and stop sophisticated email attacks, account takeovers, and insider threats for enterprises.
- **Entity Type**: Private (Series D)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2018
- **Founders**: Evan Reiser (CEO) and Sanjay Jeyakumar (CTO)

## Core Business
- **Primary industry**: Cybersecurity (Cloud Email Security, Identity Security, AI Security)
- **Target customers**: B2B, Enterprise (over 25% of the Fortune 500)
- **Mission statement**: "Stop crime with AI and bring cybersecurity from the future to defenders today."

## Products & Services
- **Abnormal Behavioral Security Platform**: An AI-native, cloud-based platform that builds behavioral baselines for every user and entity in an organization to detect anomalies that indicate attacks.
  - **Email Security**: Autonomous detection and remediation of BEC, phishing, and account takeover attacks via API-based, cloud-native architecture. Deploys in 60 seconds with no MX changes.
  - **Identity Security**: Harden identities, detect compromise, and prevent insider threats by analyzing behavioral signals in real-time.
  - **Insider Threat**: Blocks fraudulent actors and malicious insiders by autonomously addressing anomalies.
  - **AI Security (Attune AI)**: Provides visibility and policy enforcement for all AI tools used within an organization, enabling AI governance.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (last reported Series D valuation was $2.6B in 2022)
- **Key Metric**: Over 25% of the Fortune 500 are customers. The company has stopped millions of attacks and saved billions in financial losses.
- **Notable Investors/Partners**: Insight Partners, Greylock Partners, Menlo Ventures, CrowdStrike Falcon Fund (strategic investor)
- **Growth Signals**: The company is AI-native from day one, with revenue growing rapidly. It is expanding its platform from email security into identity, insider threat, and AI governance. Headcount has grown significantly, and the company continues to hire across engineering, GTM, and operations.

## Competitive Advantages
- **Behavioral AI Moat**: Unlike signature-based or rules-based security tools, Abnormal builds a unique behavioral baseline for every organization and user. This allows it to detect novel attacks that no other vendor sees.
- **AI-Native Operations**: The company doesn't just build AI products—it runs its entire business (product, CS, finance, HR) with AI agents, compounding its speed of innovation.
- **Deep Enterprise Trust**: Over 25% of the Fortune 500 give Abnormal the authority to autonomously make security decisions, a level of trust very few vendors achieve.
- **Founding Team Origins**: Founders came from adtech (building anomaly-detection AI at scale) rather than traditional cybersecurity, giving them an outsider's perspective that led to the behavioral AI approach.

## Strategic Focus
- **Platform Expansion**: Moving beyond email security into identity, insider threat, and AI security, building a unified behavioral security platform.
- **AI-First Product Development**: Using AI agents to compress product development cycles from quarters to weeks, rapidly launching new products.
- **Operational Efficiency**: Embedding AI across every internal function to drive automation and efficiency, allowing the company to scale without linear headcount growth.
- **Market Leadership**: Capitalizing on the wave of AI-generated attacks to position behavioral AI as the only viable defense.

## Why Work Here
- **Remote-First Culture**: From day one, Abnormal has been remote-first. Employees have the choice to work from home, from hub offices, or from co-working spaces (WeWork). Async work is the default, with deliberate synchronous overlap time. [abnormal.ai](https://abnormal.ai/careers/culture)
- **High Autonomy, High Accountability**: No micromanagement. Clear expectations. Growth is based on impact, not tenure or title. "You don't wait your turn." [abnormal.ai](https://abnormal.ai/careers/culture)
- **AI-Native Work Environment**: Every employee, regardless of role, gets access to the best AI tools and is expected to use them. The company rebuilds work processes around what AI makes possible—not by bolting AI onto old workflows. [abnormal.ai](https://abnormal.ai/careers/culture)
- **Compressed Growth Timeline**: Because everything moves fast with AI, impact that would take quarters elsewhere happens in weeks. One person can do what used to take a team. Outsized impact is rewarded proportionally. [abnormal.ai](https://abnormal.ai/careers/culture)
- **Transparent and Direct Culture**: "We say what's true, even when it's uncomfortable." Leaders are accessible, teams share learnings openly, and new hires get real ownership immediately. [abnormal.ai](https://abnormal.ai/about)
- **Notable Perks**: Compensation is tied to impact, not role. The company offers flexibility as infrastructure, not a benefit. Employees see direct results from their work in a fast-growing, mission-driven company.

## Sources
1. [Abnormal AI - Official Website](https://abnormal.ai/)
2. [Abnormal AI - About Page](https://abnormal.ai/about)
3. [Abnormal AI - Careers & Culture](https://abnormal.ai/careers/culture)
4. [Abnormal AI - Open Roles](https://abnormal.ai/careers/open-roles)
5. [Abnormal AI - What We Are](https://abnormal.ai/about/what-we-are)
6. [Crunchbase - Abnormal Security](https://www.crunchbase.com/organization/abnormalsecurity)
7. [PitchBook - Abnormal Security](https://pitchbook.com/profiles/abnormal-security-168693-47)

## Other roles at Abnormal

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- [Machine Learning Engineer 1](https://feeny.ai/job/machine-learning-engineer-1-abnormal-singapore-73wd1gwnvm9q) — Singapore
- [Technical Support Engineer](https://feeny.ai/job/technical-support-engineer-abnormal-bengaluru-2cbyefe6cwf5) — Bengaluru, India
- [Threat Researcher](https://feeny.ai/job/threat-researcher-abnormal-united-states-fq6zpmsfpevf) — United States
- [AI Security Sales Executive (Toronto)](https://feeny.ai/job/ai-security-sales-executive-toronto-abnormal-canada-jam0s0hbw5gv) — Canada
- [AI Security Sales Executive, TOLA](https://feeny.ai/job/ai-security-sales-executive-tola-abnormal-united-states-r6m0b6qrzjhx) — United States
- [AI Security Sales Executive, Bay Area](https://feeny.ai/job/ai-security-sales-executive-bay-area-abnormal-united-states-xmna9wdq3h9d) — United States
- [AI Security Sales Executive, Public Sector](https://feeny.ai/job/ai-security-sales-executive-public-sector-abnormal-united-states-k5zj960hvzy7) — United States
- [AI Security Sales Executive, Southeast](https://feeny.ai/job/ai-security-sales-executive-southeast-abnormal-united-states-h8mq6vb9c01m) — United States
- [AI Security Sales Executive, Northeast](https://feeny.ai/job/ai-security-sales-executive-northeast-abnormal-united-states-3mypk2ygpgsb) — United States