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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