Software Engineer - Java and AI Technologies

Qualys Security Techservices Private Limited

Pune District

Vor Ort

INR 900.000 - 1.800.000

Vollzeit

Vor 6 Tagen
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Zusammenfassung

Qualys Security Techservices Private Limited is seeking a Software Engineer in Pune to design, develop, and maintain features within a microservices and Kubernetes environment. You will work on Java-based back-end systems, REST APIs, and AI-assisted tooling to improve productivity and product quality.

The role emphasizes continuous learning, cross-functional collaboration, and hands-on work with cloud-native technologies and modern AI-enabled development practices.

Qualifikationen

  • Bachelor's or Master's in CS preferred.

Aufgaben

  • 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.

Kenntnisse

Java
Spring Boot
REST APIs
System design
Debugging
AI/ML concepts
Generative AI
LLMs
AI APIs

Ausbildung

Bachelor's or Master's degree in Computer Science

Tools

Kubernetes
Kafka
Elasticsearch
Cassandra
GitHub Copilot
ChatGPT
Microsoft Copilot
OpenAI API
Azure OpenAI
LangChain
Semantic Kernel
AWS
Azure
GCP

Jobbeschreibung

Software Engineer

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

Experience Level Mid Level

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