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.