Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Qualifications- Bachelor's or Master's degree (Computer Science preferred)
- 2-3 years of working experience in Java development
- Good problem-solving and analytical abilities
- Excellent attitude and communication skills
- Strong Java and Spring Boot knowledge with hands-on experience in object-oriented design and development
- Knowledge of RDBMS systems; experience with Cassandra is a plus
- Good understanding of microservices architecture, Kubernetes, Kafka, and Elasticsearch
- Familiarity with AI/ML concepts and practical applications in software development
- Experience using AI-assisted development tools (GitHub Copilot, ChatGPT, Microsoft Copilot, or similar) to improve developer productivity
- Understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, and AI-powered application integrations is a plus
- Exposure to AI APIs/frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, or similar technologies is desirable
- Work in a dynamic environment to create, enhance, and maintain product features
- Continuously learn and gain in-depth knowledge of technologies and product domains
- Design, develop, deploy, and debug applications in a microservices and Kubernetes environment
- Understand and contribute to event-driven architectures
- Collaborate effectively with cross-functional teams in a hybrid work environment
- Develop scalable microservices and REST APIs
- Leverage AI-assisted development tools to improve code quality, productivity, testing, and debugging
- Explore and implement AI-powered capabilities within products and internal engineering workflows
- Contribute to the integration of Generative AI and intelligent automation solutions where applicable
- Stay updated with emerging AI technologies, industry trends, and best practices
- Java, Spring Boot, REST APIs
- Microservices Architecture
- Kubernetes, Kafka, Elasticsearch
- Cassandra or NoSQL databases
- Cloud platforms (AWS/Azure/GCP) preferred
- Generative AI, Prompt Engineering, LLMs
- AI-assisted software development tools and frameworks
- Strong debugging, troubleshooting, and system design skills
Skills Required
- Bachelor's or Master's degree, preferably in Computer Science
- 2-3 years of professional Java development experience
- Strong Java and Spring Boot knowledge
- Hands-on experience with object-oriented design and development
- Knowledge of relational database management systems
- Understanding of microservices architecture, Kubernetes, Kafka, and Elasticsearch
- Good problem-solving and analytical abilities
- Strong communication and collaboration skills
- Familiarity with AI/ML concepts and software development applications
- Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or Microsoft Copilot
- Cassandra experience
- Understanding of Generative AI, LLMs, Prompt Engineering, and AI-powered application integrations
- Exposure to OpenAI, Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks
- Cloud platform experience with AWS, Azure, or GCP
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
