Software Engineer II

Abnormal Security Corp.; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Abnormal Security Corp. in Bengaluru is building a real-time threat intelligence platform from the ground up. As an SWE-2, you will take ownership, define the technical path, and build scalable backend services to process streaming security data at enterprise scale.

You will work with Python or Go, implement OpenSearch/Elasticsearch layers, and manage AWS/EKS deployments. A strong preference for experience with Kafka/Kinesis and PostgreSQL, plus a builder mindset to turn ambitious goals into

Qualifications

• 3–5+ years of production backend development and systems design experience.
• Hands-on with Kafka, Kinesis, or similar streaming platforms.
• Proven experience with OpenSearch or Elasticsearch at scale.
• AWS experience with EKS (Kubernetes) in production.
• Proficiency in Python or Golang and PostgreSQL experience.
• Builder mindset and ability to define requirements when specs are loose.

Responsibilities

• Build and maintain high-performance backend services.
• Develop streaming architectures for low-latency threat data.
• Tune and scale OpenSearch/Elasticsearch layers for large datasets.
• Translate high-level goals into technical specs and clean code.
• Own deployments and infrastructure within AWS/EKS.
• Leverage AI tooling to accelerate development and automation.
• Collaborate with teammates to identify architectural gaps and improvements.

Skills

Python

Golang

PostgreSQL

Kafka

Kinesis

OpenSearch

Elasticsearch

AWS

EKS

Builder mindset

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

OpenSearch

Elasticsearch

AWS (EKS)

Job description

The Role

We are building a real-time threat intelligence platform from the ground up. This is a zero-to-one initiative focused on streaming critical security data to enterprise teams at scale. As an SWE-2 on this team, you won't just be executing on a roadmap, you'll be helping us find the problems that aren't on it yet. We are looking for a backend engineer with a builder mindset who thrives in an environment where they can take ownership and help define the technical path forward.

What You Will Do

• Build & Scale: Develop and maintain high-performance backend services using Python or Golang .
• Stream Real-Time Data: Build and optimize streaming architectures to handle live threat intelligence with low latency.
• Search & Indexing: Implement and tune OpenSearch/Elasticsearch layers to ensure massive datasets are searchable and actionable.
• Define the "How": Take high-level goals and translate them into technical specs and clean, maintainable code.
• Cloud Ownership: Manage your own deployments and infrastructure within AWS/EKS .
• AI-Augmented Development: Use AI tools to speed up development cycles and automate routine backend tasks.
• Collaborative Innovation: Work closely with the team to identify architectural gaps and proactively suggest improvements.

Must Haves

• 3-5+ years of production experience in backend development and systems design.
• Hands-on experience with Kafka, Kinesis , or similar message brokers/streaming platforms.
• Proven experience working with OpenSearch or Elasticsearch at scale.
• Deep familiarity with AWS (highly preferred) and mandatory production experience with EKS (Kubernetes) .
• Proficiency in Python or Golang and solid experience with Postgres .
• Builder mindset: comfortable with "zero-to-one" challenges and defining requirements when specs are loose.

Nice to Have

• Frontend Basics: Familiarity with React/TypeScript for building internal tools or data visualizations.
• Security Context: An interest in cybersecurity or experience working with security data.
• Tooling: Experience using modern AI productivity tools to increase engineering velocity.

Education

• Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.

#LI-AD2

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 .