Senior Software Engineer

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.