Senior Software Engineer

Reposted Yesterday
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Pune, Mahārāshtra, IND
In-Office
Senior level
Information Technology • Security • Cybersecurity
The Role
Design, build, and own scalable Java-based backend services and platform components for large-scale SaaS. Develop REST APIs, microservices, automated tests, CI/CD pipelines, and provide production support, troubleshooting, and reliability improvements.
Summary Generated by Built In

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

We are seeking a highly skilled and passionate Senior Software Engineer to join Qualys' next-generation Platform & Middleware team. This role is primarily focused on designing and developing scalable Java-based backend services and platform components while taking end-to-end ownership of software delivery—from design and development to testing, automation, deployment, and production support.

We believe software engineers own the quality of the features they build. As part of feature ownership, engineers are expected to validate their work through automated testing, release validation, and continuous improvement of engineering practices. While backend software development remains the primary responsibility, the engineer should be comfortable contributing to test automation, release readiness, and production reliability as required by the team.

Responsibilities
  • Design and develop scalable backend services, platform components, and middleware systems using Java and related technologies.
  • Build reliable REST APIs, distributed services, and cloud-native applications for large-scale SaaS environments.
  • Own features throughout the entire software development lifecycle, including design, implementation, testing, deployment, monitoring, and production support.
  • Write high-quality, maintainable, and well-tested code with a strong focus on performance, scalability, and reliability.
  • Develop and maintain unit, integration, API, and end-to-end automated tests as part of feature development.
  • Build and enhance API and UI automation using PyTest, Playwright, and other appropriate automation frameworks to ensure product quality.
  • Perform functional, integration, regression, and release validation for developed features.
  • Contribute to CI/CD pipelines, deployment automation, and release engineering activities.
  • Participate in architecture discussions, design reviews, and technical decision-making for platform services.
  • Troubleshoot complex issues across distributed services, databases, messaging systems, and cloud infrastructure.
  • Improve system scalability, resiliency, observability, and operational excellence.
  • Participate in code reviews, root cause analysis, and production support.
  • Contribute to engineering best practices, coding standards, and mentor junior engineers where appropriate.
  • Explore and adopt modern engineering productivity practices and AI-assisted development tools where applicable.
Required Skills
  • 3–7 years of software development experience.
  • Strong Java programming skills with a solid understanding of object-oriented design, data structures, algorithms, concurrency, and system design.
  • Experience building REST APIs, microservices, and distributed systems.
  • Strong commitment to software quality through unit, integration, API, and end-to-end automated testing.
  • Experience with test automation frameworks such as PyTest, JUnit, RestAssured, Playwright, Selenium, or similar technologies.
  • Experience with messaging technologies such as Kafka, RabbitMQ, or similar platforms.
  • Experience with CI/CD tools and modern deployment practices using Jenkins, GitLab CI, Docker, Kubernetes, and Helm.
  • Strong understanding of relational databases, SQL optimization, and data modeling.
  • Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis.
  • Strong debugging, troubleshooting, and analytical problem-solving skills.
  • Good understanding of scalable, resilient, observable, and production-grade distributed systems.
  • Excellent communication and collaboration skills with the ability to work across development, testing, and operations teams.
Preferred Skills
  • Experience working on SaaS, cloud security, or enterprise platform products.
  • Familiarity with AI-assisted software development tools such as GitHub Copilot, Cursor, Windsurf, Claude Code, or similar tools.
  • Experience with performance engineering, observability, and monitoring platforms.
  • 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 Site Reliability Engineering (SRE) principles and production reliability engineering.
Education
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.

Skills Required

  • 3-7 years of software development experience
  • Strong Java programming skills with object-oriented design, data structures, algorithms, concurrency, and system design
  • Experience building REST APIs, microservices, and distributed systems
  • Commitment to software quality through unit, integration, API, and end-to-end automated testing
  • Experience with test automation frameworks such as PyTest, JUnit, RestAssured, Playwright, or Selenium
  • Experience with messaging technologies such as Kafka or RabbitMQ
  • Experience with CI/CD tools and deployment practices using Jenkins, GitLab CI, Docker, Kubernetes, and Helm
  • Strong understanding of relational databases, SQL optimization, and data modeling
  • Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
  • Strong debugging, troubleshooting, and analytical problem-solving skills
  • Excellent communication and collaboration skills
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
  • Experience working on SaaS, cloud security, or enterprise platform products
  • Familiarity with AI-assisted software development tools (e.g., GitHub Copilot, Cursor, Windsurf, Claude Code)
  • Experience with performance engineering, observability, and monitoring platforms
  • Familiarity with emerging AI engineering concepts such as MCP integrations, agentic workflows, RAG pipelines, or LLM-based automation
  • Understanding of Site Reliability Engineering (SRE) principles and production reliability engineering

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Foster City, CA
2,736 Employees
Year Founded: 1999

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

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