Qualys is seeking a Principal Software Engineer to join the Enterprise TruRisk Management (ETM) team, responsible for building large-scale data platforms that power vulnerability management, asset discovery, and threat intelligence across millions of assets globally.

In this role, you will design and build high-performance distributed systems that process and analyze massive security datasets. You will collaborate with engineering, product, and architecture teams to develop scalable microservices and data pipelines that enable real-time security insights for enterprise customers.

This role requires strong expertise in Java, distributed systems, big data technologies, and large-scale search platforms.

Key Responsibilities:

Architecture & Design

• Lead the design and architecture of scalable distributed systems for asset intelligence, finding intelligence and threat management.

• Define architecture patterns for microservices-based platforms handling high-volume data ingestion and processing.

• Drive technical direction and platform evolution for ETM data infrastructure.

Platform Development

• Design and implement high-performance backend services in Java.

• Build and optimize large-scale data pipelines using technologies such as Kafka, Spark, Hadoop, and streaming frameworks.

• Develop services that support real-time and batch data processing for security analytics.

Data Platform & Search

• Architect and maintain large-scale Elasticsearch/OpenSearch clusters used for asset indexing, finding indexing, its search, and analytics.

• Design efficient indexing strategies and data models for efficient ingestion

• Optimize query performance and data retrieval across billions of records.

Scalability & Reliability

• Build fault-tolerant, highly available services capable of operating at cloud scale.

• Ensure systems meet performance, reliability, and security requirements.

• Drive improvements in observability, monitoring, and operational excellence.

Technical Leadership

• Provide technical leadership and mentorship to engineering teams.

• Drive design reviews, architecture discussions, and best practices.

• Influence cross-team platform strategy and engineering standards.

Collaboration

• Partner with product management, security researchers, and data engineers to deliver impactful ETM features.

• Work closely with platform and infrastructure teams to optimize system performance and scalability.