abnormalsecurity · Hybrid - Bangalore, India
Skills: React, TypeScript, Python, Go, SQL, AWS, Docker
The Role Our Message Security Detection team at Abnormal operates at massive scale, powering critical security infrastructure that processes 10B+ emails per week (~35 TB of data daily) , while also building a new real-time Threat Intelligence platform from the ground up . What makes this opportunity unique is the combination of zero-to-one product development and enterprise-scale engineering challenges from day one , involving real-time data streaming, low-latency backend systems, and large-scale search and indexing. 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…
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