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Software Engineer

Qualys · Pune

Employer
Qualys
Requisition id
Software-Engineer_R0005140
First posted (employer ATS)
(1d ago)
First seen by this site
2026-10-05T12:47:17Z
Last verified live
2026-10-06T00:18:29Z
Source
Employer career portal (workday)

Job description

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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