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Job Summary
We are seeking a highly skilled and passionate Senior Software Engineer to join Qualys’ next-generation Platform & Middleware team who can take end-to-end ownership of software delivery—from design and development to validation, automation, release, and production reliability.
This role is ideal for engineers who enjoy building scalable backend systems while also owning quality through manual testing, automation, and release validation. Depending on project needs, the engineer may operate as a developer, SDET, or release owner to ensure successful delivery.
Responsibilities
- Design and develop scalable backend services, platform components, and middleware systems using Java and related technologies.
- Build reliable and maintainable APIs, distributed services, and cloud-native applications for large-scale SaaS environments.
- Own features throughout the SDLC, including design, development, testing, automation, deployment, and support.
- Perform functional, integration, and end-to-end validation of developed features.
- Build and maintain automated test suites using PyTest and Playwright.
- Contribute to architecture discussions, design reviews, performance optimization, scalability improvements, and reliability initiatives
- Contribute to CI/CD pipelines, release validation, and deployment automation.
- Troubleshoot complex distributed systems issues across services, databases, messaging systems, and cloud infrastructure
- Improve system scalability, reliability, observability, and operational excellence.
- Contribute to engineering best practices, coding standards, and technical mentorship within the team
- Explore and adopt modern engineering productivity practices and tools where applicable.
- Participate in code reviews, root cause analysis, and production support activities.
Required Skills
- 4+ years of software development experience.
- Strong Java programming skills and understanding of OOP, data structures, concurrency, and system design.
- Experience building REST APIs, microservices, and distributed systems.
- Experience writing unit, integration, and API-level automated tests as part of the development lifecycle
- Familiarity with automation frameworks and validation tools such as PyTest , JUnit, Rest Assured, Playwright, Selenium, or similar technologies
- Experience with Kafka, RabbitMQ, or similar messaging technologies.
- Strong hands-on experience with Docker containers, Kubernetes, and CI/CD pipeline implementation and management.
- Experience with container registries, including Docker Hub, OpenShift, and JFrog Artifactory.
- Strong understanding of databases including SQL optimization and data modeling concepts
- Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
- Strong debugging, troubleshooting, and problem-solving skills.
- Good understanding of scalability, resiliency, observability, and production-grade system design
Preferred
Experience in SaaS, cloud security, or enterprise platforms.
Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code.
Exposure to performance engineering and observability tools
Nice to have: familiarity with emerging AI engineering concepts such as MCP integrations, agentic workflows, RAG pipelines, AI-powered developer tooling, or LLM-based automation
Understanding of SRE concepts and production reliability engineering
Education
Bachelor’s / Master’s degree in Computer Science, Engineering, or equivalent practical experience
Skills Required
- 4+ years of software development experience
- Strong Java programming skills and understanding of OOP, data structures, concurrency, and system design
- Experience building REST APIs, microservices, and distributed systems
- Experience writing unit, integration, and API-level automated tests
- Familiarity with automation frameworks and validation tools such as PyTest, JUnit, Rest Assured, Playwright, Selenium
- Experience with Kafka, RabbitMQ, or similar messaging technologies
- Strong hands-on experience with Docker containers, Kubernetes, and CI/CD pipeline implementation and management
- Experience with container registries, including Docker Hub, OpenShift, and JFrog Artifactory
- Strong understanding of databases including SQL optimization and data modeling concepts
- Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
- Strong debugging, troubleshooting, and problem-solving skills
- Good understanding of scalability, resiliency, observability, and production-grade system design
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
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
