Software Engineer 2 - Abnormal Data Platform Engineering Hybrid - Bangalore, India →

abnormal.ai; Bengaluru; On-site; INR 2,100,000 - 3,300,000; Full time

Job summary

Abnormal AI is seeking a Software Engineer II (Backend) to join the Federated Intelligence Platform in India. You will design and scale high-volume ingestion, manage OpenSearch, and ensure low-latency services across global infrastructures.

You will own complex features from design to production and collaborate with cross-functional teams across time zones. The role focuses on scalable backend services, data pipelines, and operational excellence with on-call rotations and strong emphasis on

Qualifications

• Experience building and operating highly scalable distributed systems and services.
• Experience working with data pipelines, both event-driven and synchronous.
• 3+ years of overall software engineering experience
• Languages: Golang, Python
• Framework: Spark
• Experience with Storage / Data Pipelines
• At least 1 year designing complex distributed systems
• Proven end-to-end ownership across SDLC
• Kafka or similar high-throughput messaging/streaming
• OpenSearch, DynamoDB, or large-scale search systems
• Familiarity with Airflow or similar workflow tools
• Observability with Grafana/Prometheus and on-call rotations
• Agile methodologies (Scrum/Kanban)
• Cross-time-zone collaboration
• BS degree in CS or related field

Responsibilities

• Design and build performant APIs serving as sources of truth for Abnormal systems.
• Develop high-throughput, low-latency backends processing millions of events daily.
• Establish reliable data pipelines and update data regularly.
• Enhance frameworks to deploy API and dataset changes quickly.
• Own delivery of complex features for standing teams; define milestones.
• Own SLAs/SLOs for core systems and drive improvements.
• Provide on-call support and maintain system uptime.
• Collaborate asynchronously and participate in code reviews and design discussions.
• Mentor junior team members and share knowledge across the team.

Skills

Distributed systems

Data pipelines

Golang

Python

Spark

Kafka

OpenSearch/DynamoDB

Airflow

Grafana/Prometheus

Agile

Remote collaboration

BS CS or related eng

3+ years experience

Education

BS in Computer Science or related engineering field

Tools

OpenSearch

DynamoDB

Protobuf

Elasticsearch

Parquet

Airflow

Job description

Software Engineer 2 - Abnormal Data Platform

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
• 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 pleaseclick here . If you would like more information on your EEO rights under the law, please click here .

Export Compliance Notice:

This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization.

The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions.

As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicants at various stages through our recruitment process. 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.

Compensation Disclaimer: The base salary range for this position is dependent on the candidate's experience, skills, qualifications, and location. The actual offer may vary. In addition to base salary, this role is eligible for equity, annual bonus, and benefits.

Equal Employment Opportunity: Abnormal Security is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

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