Location
Hybrid (Pune, India)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 5, 2026.
Overview
Company
Impact
Profile match
Qualys is an American security company founded in 1999 that pioneered delivering vulnerability scanning as a cloud service rather than as software customers installed and ran themselves. Its platform builds an inventory of an organisation's assets, scans them for vulnerabilities and misconfigurations, prioritises what to fix based on whether an exploit exists and is being used, and increasingly handles the patching itself. Headquartered in Foster City and listed on Nasdaq, it competes with Tenable and Rapid7 and has extended into cloud security posture management and compliance reporting.
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
Responsibilities
- 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
Preferred Skills
- 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
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