Senior Full Stack Java Developer

Qualys Security Techservices Private Limited; Pune District; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Qualys Security Techservices Private Limited in Pune is seeking a Senior Software Engineer to design and build scalable full-stack applications using React.js on the front end and Java/Spring Boot on the back end. You will develop robust REST APIs, microservices, and AI-enabled features, collaborating with cross-functional teams to deliver high-quality software.

The role emphasizes performance, security, and reliability, with hands-on work in Kafka, Docker, Kubernetes, and CI/CD pipelines.

Qualifications

• 4–6 years of hands-on software development experience with React.js (Front-End) and Java (Back-End).
• Strong expertise in Java, Spring Boot, and RESTful API development.
• Experience designing scalable microservices and distributed systems.
• Familiar with AI concepts including LLMs, AI Agents, Prompt Engineering, RAG, and AI-powered development tools.

Responsibilities

• Design, develop, and maintain scalable full-stack applications using React.js and Java/Spring Boot.
• Architect robust REST APIs and microservices for high-performance distributed systems.
• Develop and support event-driven architectures leveraging Kafka and related tech.
• Deploy, monitor, and troubleshoot in Kubernetes-based environments.
• Mentor junior engineers and promote engineering best practices.

Skills

React.js

Java

Spring Boot

RESTful APIs

Microservices

Kafka

CI/CD

Docker

Kubernetes

AI/ML concepts

Tools

OpenAI APIs

LangChain

Redis

Memcached

Oracle

Cassandra

GitHub Copilot

Jenkins

Job description

Senior Software Engineer Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Senior Software Engineer (4–6 Years Experience) – Full Stack Java Developer

Required Skills & Qualifications 4–6 years of hands‑on experience in software development with React.js (Front-End) and Java (Back-End). Strong expertise in Java, Spring Boot, and RESTful API development with a solid understanding of design patterns and object‑oriented programming principles. Experience in designing and developing scalable microservices and distributed systems. Strong understanding of Artificial Intelligence and Machine Learning concepts, including Large Language Models (LLMs), AI Agents, Prompt Engineering, Retrieval‑Augmented Generation (RAG), and AI‑powered application development. Hands‑on experience integrating AI services and frameworks such as OpenAI APIs, Azure OpenAI, LangChain, Semantic Kernel, or similar technologies. Experience leveraging AI‑assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or equivalent to improve development productivity and software quality. Strong Java and React.js programming skills, including architecture, prototyping, development, testing, performance tuning, profiling, and troubleshooting. Hands‑on experience with messaging and event‑driven architectures using Apache Kafka. Familiarity with in‑memory caching technologies such as Redis and Memcached. Strong understanding of relational databases, preferably Oracle, including database design, query optimization, indexing, and performance tuning. Experience with NoSQL databases, preferably Cassandra. Hands‑on experience with Docker, Kubernetes, Jenkins, and CI/CD pipelines. Good understanding of cloud‑native application development and deployment practices. Strong analytical, debugging, and problem‑solving skills with the ability to troubleshoot complex production issues. Excellent communication and collaboration skills with the ability to work effectively in cross‑functional teams.

Key Responsibilities

Design, develop, and maintain scalable full‑stack applications using React.js and Java/Spring Boot. Architect and implement robust REST APIs and microservices for high‑performance distributed systems. Develop and support event‑driven architectures leveraging Kafka and related technologies. Deploy, monitor, and troubleshoot applications running in Kubernetes‑based environments. Collaborate with product management, engineering, and platform teams to deliver high‑quality solutions. Drive technical design discussions and contribute to architectural decisions. Integrate AI‑powered capabilities into products and workflows, including LLM‑based and agentic solutions. Evaluate and adopt emerging AI technologies to enhance product functionality and engineering efficiency. Utilize AI‑assisted development tools to improve code quality, testing coverage, documentation, and developer productivity. Participate in code reviews, mentor junior engineers, and promote engineering best practices. Ensure application performance, reliability, scalability, and security through proactive engineering practices.

Experience Level Senior Level