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 DeveloperRequired 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.
- 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.
Skills Required
- 4–6 years of hands-on software development experience with React.js and Java
- Expertise in Java, Spring Boot, RESTful API development, design patterns, and object-oriented programming
- Experience designing and developing scalable microservices and distributed systems
- Understanding of AI and machine learning concepts, including LLMs, AI agents, prompt engineering, RAG, and AI-powered application development
- Experience integrating AI services and frameworks such as OpenAI APIs, Azure OpenAI, LangChain, or Semantic Kernel
- Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or ChatGPT
- Strong Java and React.js skills covering architecture, prototyping, development, testing, performance tuning, profiling, and troubleshooting
- Experience with messaging and event-driven architectures using Apache Kafka
- Familiarity with Redis or Memcached
- Understanding of relational databases, preferably Oracle, including database design, query optimization, indexing, and performance tuning
- Experience with NoSQL databases, preferably Cassandra
- Experience with Docker, Kubernetes, Jenkins, and CI/CD pipelines
- Understanding of cloud-native application development and deployment
- Strong analytical, debugging, and problem-solving skills
- Excellent communication and cross-functional collaboration skills
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
