Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Lead Software Engineer- 8+ years of experience in software engineering, with a strong focus on application security, cloud security, and distributed systems.
- Strong programming expertise in Java, Spring Boot, and modern software design principles, including object-oriented design, design patterns, and microservices architecture.
- Extensive experience with databases and data platforms such as Oracle, Cassandra, Elasticsearch, and other large-scale data stores.
- Hands-on experience designing and building scalable APIs, backend services, platforms, and proof-of-concepts (PoCs) from ideation through production deployment.
- Strong experience with cloud-native technologies, including Kubernetes, Docker, CI/CD pipelines, and public cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with event-driven architectures and messaging technologies such as Kafka.
- Experience leading technical design discussions, driving architectural decisions, and mentoring engineering teams.
- Strong understanding of AI/ML concepts, Generative AI, Large Language Models (LLMs), AI Agents, Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI-powered application development.
- Experience integrating AI services and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, Vector Databases, and Agentic AI platforms.
- Familiarity with AI-assisted software development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or equivalent technologies to improve engineering productivity and code quality.
- Strong troubleshooting, performance tuning, and debugging skills with the ability to resolve complex production issues across distributed environments.
- Ability to collaborate effectively across product, engineering, security, and platform teams to drive technical strategy, design features, and deliver innovative solutions.
- Excellent communication, leadership, and stakeholder management skills with a proven ability to influence technical direction and execution.
- Lead the design and development of secure, scalable, and high-performance backend systems and cloud-native applications.
- Define and drive architectural best practices across microservices, APIs, data platforms, and cloud infrastructure.
- Evaluate, prototype, and implement AI-powered capabilities, including LLM-based applications and agentic workflows.
- Lead technical investigations, proof-of-concepts, and innovation initiatives aligned with business and product goals.
- Mentor and guide engineers through design reviews, code reviews, and technical decision-making.
- Partner with product, security, and platform teams to deliver secure, reliable, and scalable solutions.
- Drive operational excellence, observability, performance optimization, and production stability across services.
Skills Required
- 8+ years of experience in software engineering
- Strong application security, cloud security, and distributed systems experience
- Strong programming expertise in Java and Spring Boot
- Knowledge of object-oriented design, design patterns, and microservices architecture
- Experience with Oracle, Cassandra, Elasticsearch, and large-scale data stores
- Experience designing and building scalable APIs, backend services, platforms, and proof-of-concepts through production deployment
- Experience with Kubernetes, Docker, CI/CD pipelines, and public cloud platforms such as AWS, Azure, or GCP
- Experience with event-driven architectures and Kafka
- Experience leading technical design discussions and architectural decisions
- Experience mentoring engineering teams
- Understanding of AI/ML, Generative AI, LLMs, AI Agents, Prompt Engineering, RAG, and AI-powered application development
- Experience integrating OpenAI, Azure OpenAI, LangChain, Semantic Kernel, Vector Databases, and Agentic AI platforms
- Familiarity with AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or ChatGPT
- Strong troubleshooting, performance tuning, and debugging skills across distributed environments
- Ability to collaborate across product, engineering, security, and platform teams
- Excellent communication, leadership, and stakeholder management 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
