Senior Software Engineer - Message Security Detection
Abnormal AI· Inbound Email Security
Hybrid (Bangalore, India)full-timePosted 3mo ago
About the role
Senior Software Engineer focused on high-throughput, low-latency data infrastructure for real-time threat detection. Builds distributed data pipelines (Spark/Airflow) and cloud-native infra (AWS/EKS), mentors engineers, and leads AI productivity initiatives to accelerate development and internal workflows.
Responsibilities
- Architect & Scale: Design and maintain high-throughput detection systems and backend services, ensuring low latency and high reliability.
- Data Orchestration: Lead the development of robust data pipelines using Spark and Airflow to supply detection teams with high-fidelity data for ML model training and evaluation.
- Technical Leadership: Partner with Engineering Managers to define technical roadmaps, mentor junior/mid-level engineers, and drive best practices in code quality and system design.
- AI-Driven Innovation: Lead the team in adopting AI productivity initiatives, leveraging tools like Claude, OpenAI, and GitHub Copilot to accelerate the development lifecycle and automate internal workflows.
- Cross-functional Collaboration: Work closely with TPMs, Product Managers, Data Scientists, and Security Researchers to translate complex business needs into scalable technical solutions.
- Operational Excellence: Manage and optimize cloud-native infrastructure on AWS/EKS, ensuring systems are cost-effective, secure, and performant.
Qualifications
- 8+ years of professional experience: Proven track record in production-level backend development with Python or Golang.
- Data Engineering Expertise: Expert-level proficiency in building and optimizing distributed data pipelines using Spark and Airflow (or equivalent orchestration tools).
- Cloud & Infrastructure: Extensive experience managing and scaling cloud-native applications on AWS (highly preferred), GCP, or Azure, with hands-on container orchestration using EKS.
- System Design: Strong ability to design complex integrations and handle significant throughput/latency challenges.
- Problem Solving: Methodical approach to performance debugging, benchmarking, and resolving bottlenecks in large-scale systems.
- Database Proficiency: Strong experience with Postgres or similar relational databases at scale.
- Education: BS in Computer Science, Applied Sciences, or related engineering field.
Skills
Required:PythonGolangSparkAirflowAWSEKSPostgreSQL
Last updated Oct 24, 2026. Interested? Apply on the company site.
About Abnormal AI
The Behavioral Security Platform for the AI era.
AI SecurityAbnormal Behavioral Security PlatformBehavioral SecurityEmail SecurityIdentity SecurityInsider ThreatPlatformenterprise-infrastructure
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