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 nextgeneration cloud security platform. You will collaborate with experienced engineers and architects to
prototype, design, develop, and support a massively scalable, AIaugmented SaaS security product.
In this role, you will work with a worldclass engineering team tackling complex distributedsystem challenges, processing
millions of transactions and
terabytes of data daily, and delivering intelligent, highperformance security solutions.
Responsibilities
- Research, prototype, and develop innovative solutions to advance Qualys security product portfolio, including the integration of modern AI/MLbased analytics and automation.
- Co-develop Qualys next-generation cloudnative SaaS security platform with a strong focus on scalability, performance, and reliability.
- Design and build highperformance APIs, libraries, and microservices capable of supporting massive workloads involving millions of transactions and largescale data processing.
- Deliver clean, maintainable, highquality software following strong architectural, design, and coding principles.
- Continuously evaluate, adopt, and apply nextgeneration technologies, including AI tools, cloudnative frameworks, and distributedsystem patterns.
- Architect and implement microservices using the Spring Boot framework, ensuring robustness, observability, and security.
- Collaborate with crossfunctional teams to integrate AIdriven insights into product workflows.
Requisite Qualifications
- 47 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 objectoriented design, prototyping, development, testing, and performance optimization.
- Experience with Kafka or similar messaging middleware for highthroughput distributed applications.
- Proficiency in inmemory 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 cloudnative, distributed, or AIenabled backend systems is beneficial.
