---
title: 'Software Engineer 2 - Abnormal Data Platform at Abnormal'
canonical: 'https://feeny.ai/job/software-engineer-2-abnormal-data-platform-abnormal-bengaluru-4f2q7wp5p55n'
type: 'job'
last_seen: '2026-09-11'
---

# Software Engineer 2 - Abnormal Data Platform at Abnormal

- **Company:** Abnormal
- **Location:** Bengaluru, India
- **Work type:** hybrid
- **Posted:** 2026-08-27
- **Last confirmed live:** 2026-09-11
- **Apply:** https://abnormal.ai/careers/jobs/7816911003?gh_jid=7816911003

## Job description

The Opportunity

We are looking for a Software Engineer II, Backend to join our Federated Intelligence Platform team in India. The team serves as the federated intelligence layer within the Abnormal Data Platform, managing the ingestion, storage, and retrieval of critical entity insights and threat indicators that drive core detection and the customer portal. This position focuses on scaling NEP reads, managing OpenSearch, and ensuring the reliability of domain and vendor-engine federation. The hire will design and maintain high-volume ingestion and low-latency services across global infrastructures, playing a vital role in upholding detection efficacy as the company expands its security footprint into identity and AI-agent protection.

In this role, you will 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 as a Software Engineer II - Backend

As part of our Federated Intelligence Platform team, you will:

- Design and Development:
- Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal.
- Build and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events.
- Establish data pipelines that ensure our data is updated regularly and reliably
- Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner
- Develop robust and scalable backend integrations with external applications
- Define deliverables towards key projects, de-risking projects and executing them towards key milestones.
- Be relied upon to own the delivery of complex features for a Standing Team -- to design, decompose, execute, and launch.
- Own SLAs/SLOs for our systems and drive improvements.
- Testing and Debugging
- Conduct thorough testing of applications, including unit testing and integration testing
- Use debugging tools and techniques to diagnose and fix issues in a timely manner.
- Driving overall quality of the systems and codebase
- Influence quality culture of the team by example.
- Support and On-call
- Provide operational support to maintain a high level of system uptime and performance
- Provide technical support to troubleshoot and resolve issues reported by users or identified through monitoring systems and participate in on-call rotations.
- Proactively identify inefficiencies in monitoring and alerting systems and address them through efficient solutions
- Collaboration and Communication
- Communicate effectively in an async manner with team members to provide updates, discuss challenges and propose solutions.
- Participate in code reviews to maintain code quality  and in system design discussions
- Create a magical work environment with colleagues and memorable interview process for candidates
- Mentor and coach other junior team members on the team.
- Continuous Learning and Improvement
- Actively contribute to knowledge sharing within the team and participate in professional development activities.

You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place.

We are a scrappy team: we are building multiple systems from scratch - this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Many of our projects will come with vague requirements across multiple teams, and we expect this engineer to be able to refine the requirements from the teams by reaching out to them to make sure we fulfill their needs.

We are a very distributed team, as such you will need to have excellent communication skills across both verbal and written mediums. You will need to be just as comfortable on a zoom call as writing a 1 pager project proposal to be shared across the team for technical feedback.

Must Haves

- Experience building and operating highly scalable and highly available distributed systems and services.
- Experience working with data pipelines, both event-driven and synchronous.
- 3+ years of overall software engineering experience
- Experience with relevant tech stack:
- Language: Golang, Python
- Cloud Platform : AWS
- Framework: Spark
- Experience with Storage / Data Pipelines
- At least 1 year of experience designing complex distributed systems
- Proven experience with end to end ownership across various stages of SDLC including requirements gathering, design, development, production support and maintenance
- Demonstrated expertise in Kafka or comparable high-throughput messaging and streaming platforms
- Hands-on experience with OpenSearch, DynamoDB, or architecting large-scale search and indexing systems
- Familiarity with Airflow or equivalent workflow orchestration and data pipeline management tools
- Background in production observability using Grafana or Prometheus and experience with on-call rotations
- Proven experience working with agile development methodologies (both scrum and kanban)
- Proven experience working and communicating effectively with cross-functional teams across multiple time zones with with remote stakeholders
- BS degree in Computer Science or related engineering field

## Nice to Have

- Proficiency and comfort utilizing AI-augmented development workflows and engineering toolsets
- 1.5+ years of experience with Golang
- 1.5+ years of experience with Protobuf
- 1.5+ years of experience with Apache Spark (mainly PySpark)
- Exposure to Airflow, Elasticsearch, Kafka, Parquet

## #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](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)

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