About this role
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
About the Job We are seeking a highly skilled Senior Software Engineer to contribute to Qualys’ next‑generation cloud security platform. You will collaborate with experienced engineers and architects to prototype, design, develop, and support a massively scalable, AI‑augmented SaaS security product. In this role, you will work with a world‑class engineering team tackling complex distributed‑system challenges, processing millions of transactions and terabytes of data daily, and delivering intelligent, high‑performance security solutions. Responsibilities
• Research, prototype, and develop innovative solutions to advance Qualys’ security product portfolio, including the integration of modern AI/ML‑based analytics and automation. • Co-develop Qualys’ next-generation cloud‑native SaaS security platform with a strong focus on scalability, performance, and reliability. • Design and build high‑performance APIs, libraries, and microservices capable of supporting massive workloads involving millions of transactions and large‑scale data processing. • Deliver clean, maintainable, high‑quality software following strong architectural, design, and coding principles. • Continuously evaluate, adopt, and apply next‑generation technologies, including AI tools, cloud‑native frameworks, and distributed‑system patterns. • Architect and implement microservices using the Spring Boot framework, ensuring robustness, observability, and security. • Collaborate with cross‑functional teams to integrate AI‑driven insights into product workflows. Requisite Qualifications
• 4–7 years of hands-on experience in Java backend development with strong expertise in the Spring Boot framework. • Strong programming and design skills with proficiency in object‑oriented design, prototyping, development, testing, and performance optimization. • Experience with Kafka or similar messaging middleware for high‑throughput distributed applications. • Proficiency in in‑memory caching technologies such as Redis or Memcached. • Solid understanding of data structures and algorithms. • Expertise with RDBMS systems (preferably Oracle). • Experience with NoSQL databases (preferably Cassandra). • Working knowledge of Docker, Kubernetes, Jenkins, and related CI/CD practices. • Exposure to or interest in leveraging AI/ML tools, automation frameworks, or analytics systems in backend engineering is a plus. Desired Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. • Prior experience in developing cloud‑native, distributed, or AI‑enabled backend systems is beneficial.