Abnormal - Senior Software Engineer Tech Lead Message Security Detection
Requirements
• 8+ years of professional experience: Proven track record in production-level backend development with Python or Golang. • Python or Golang • Data Engineering Expertise: Expert-level proficiency in building and optimizing distributed data pipelines using Spark and Airflow (or equivalent orchestration tools). • Data Engineering Expertise: • Spark and Airflow • Cloud & Infrastructure: Extensive experience managing and scaling cloud-native applications on AWS (highly preferred), GCP, or Azure, with a proven track record of hands-on container orchestration using EKS. • Cloud & Infrastructure: • AWS (highly preferred) • proven track record of hands-on container orchestration using EKS • Leadership & Mentorship: Experience leading technical projects, mentoring engineers, and contributing to the long-term technical strategy of a team. • Leadership & Mentorship: • System Design: Strong ability to design complex integrations and handle significant throughput/latency challenges. • System Design: • Problem Solving: A methodical approach to performance debugging, benchmarking, and resolving bottlenecks in large-scale systems. • Problem Solving: • Database Proficiency: Strong experience with Postgres or similar relational databases at scale. • Database Proficiency: • Education: BS in Computer Science, Applied Sciences, or a related engineering field. • Education: • Frontend Literacy: Familiarity with React and TypeScript to assist with internal tool visualizations. • Frontend Literacy: • React and TypeScript • Data Ecosystems: Experience with Databricks, Snowflake, or similar data lakehouse architectures. • Data Ecosystems: • Databricks • Cybersecurity Domain: Background in threat detection, network security, or fraud prevention. • Cybersecurity Domain: • Advanced Degrees: MS in Computer Science or Electrical Engineering. • Advanced Degrees:
Responsibilities
• Architect & Scale: Design and maintain high-throughput detection systems and backend services, ensuring low latency and high reliability. • Architect & Scale: • 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. • Data Orchestration: • Spark and Airflow • 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. • Technical Leadership: • 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. • AI-Driven Innovation: • AI productivity initiatives • Cross-functional Collaboration: Work closely with TPMs, Product Managers, Data Scientists, and Security Researchers to translate complex business needs into scalable technical solutions. • Cross-functional Collaboration: • Operational Excellence: Manage and optimize cloud-native infrastructure on AWS/EKS, ensuring systems are cost-effective, secure, and performant. • Operational Excellence: • AWS/EKS
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