Software Engineer 2 - Abnormal Data Platform

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