Quality Engineer

Description

Job Title: Quality Engineer

Job Type: Full-time

Location: Hybrid - Denver, CO (3 days on-site per week)

Cloud Bees provides the leading software delivery platform for enterprises, enabling them to continuously innovate, compete, and win in a world powered by the digital experience. Designed for the world's largest organizations with the most complex requirements, Cloud Bees enables software development organizations to deliver scalable, compliant, governed, and secure software from the code a developer writes to the people who use it.

The platform connects with other best-of-breed tools, improves the developer experience, and enables organizations to bring digital innovation to life continuously, adapt quickly, and unlock business outcomes that create market leaders and disruptors.

Cloud Bees was founded in 2010 and is backed by Goldman Sachs, Morgan Stanley, Bridgepoint Credit, HSBC, Golub Capital, Delta-v Capital, Matrix Partners, and Lightspeed Venture Partners. Visit  and follow us on Twitter, Linked In, and Facebook.

Requirements

This role operates in an AI-first engineering environment where agentic coding tools are part of your daily toolkit, enabling you to test smarter, faster and with greater confidence.

These are some of the tasks that you’ll be engaged on:

• Design, develop, and maintain automated test suites across UI, API, and integration layers using Cucumber with Selenium and REST API testing frameworks, leveraging AI tooling where appropriate.
• Build, extend, and maintain automated regression and CI test suites, integrating them into CI/CD pipelines (e.g., Jenkins) to deliver fast, reliable quality feedback.
• Leverage AI agentic coding tools (Claude code, Github Copilot) to accelerate test authoring and generate courage for complex user flows.
• Partner with Product Management and Engineering to define acceptance criteria, testable requirements, and quality gates early in the development lifecycle.
• Perform functional, regression, integration, and exploratory testing; diagnose defects, drive root cause analysis, and see issues through to resolution.
• Participate in Pull Request reviews, technical discussions, and design reviews, championing quality, testability, and engineering best practices across the team.
• Design and execute performance and load tests using Gatling or JMeter, and analyze results to surface bottlenecks and reliability risks.
• Contribute to the continuous improvement of our quality engineering practices, tooling, and test frameworks, and help mentor peers on quality standards.

• Hands-on experience or demonstrated curiosity with AI agentic coding tools and the ability to effectively direct AI coding tools to generate, extend, and maintain test coverage.
• Highly analytical mindset with a logical, methodical approach to problem solving and root cause analysis.
• 3+ years of experience in software quality engineering or test automation, with a track record of building and owning automated tests.
• Strong hands-on experience building automated regression / CI test suites using Cucumber with Selenium and REST APIs.
• Proficiency in at least one programming or scripting language such as Java, Python, or JavaScript.
• Experience integrating automated tests into CI/CD pipelines (Jenkins or similar).
• Ability to design functional tests, test plans, and test strategies, and to configure test environments and test data.
• Experience with performance testing using Gatling, JMeter, or comparable tools.
• Excellent communication skills, with the ability to communicate test results and quality risks to both technical and non-technical stakeholders.
• Bonus: exposure to containerization and orchestration (Docker, Kubernetes) and/or cloud platforms (AWS, GCP, or Azure).
• Bonus:
  Familiarity with LLM-based test generation, MCP tooling, or agentic automation workflows..

• Highly competitive compensation, equity, and benefits package.
• The opportunity to work on systems that power software delivery for some of the world's largest engineering organizations.
• A collaborative team that takes craft seriously and invests in each other's growth.
• Direct exposure to…