DomainTools
Full Stack Software Engineer
Raleigh, North Carolina, United States
Sponsorship not specifiedDetected 1 day ago
JavaScriptTypeScriptPHPReactHTMLCSSwebpackLaravelBackend DevelopmentFull-Stack DevelopmentObject-Oriented ProgrammingCode ReviewMySQLCybersecurityUX DesignControlsPlaywrightJestDNS
About the role
- DomainTools is seeking a Software Engineer to join our Frontend Team.
- You will work in an environment where productivity is fostered.
- You will spend very little time in meetings, and you won't be distracted by processes that get in the way of high-quality results.
Responsibilities
- Produce well designed, testable, efficient code using software development best practices.
- Build web applications using PHP on the backend and JavaScript (ES7+), HTML5, and CSS3 on the frontend.
- Collaborate with teammates by actively participating in code reviews, contributing to technical documentation, and offering constructive design feedback.
- Demonstrable experience building and consuming APIs.
- We build our teams so creativity and innovation can flourish.
Requirements
- However, it is required that you are very comfortable with JavaScript.
- 3+ years of modern web application development.
- Experience with modern PHP frameworks (Laravel, Symfony).
- Solid knowledge of the following:
- Experience with unit and integration testing (PHPUnit, Jest).
- Proficiency with version control systems, particularly Git.
- Experience with container technologies, particularly Docker.
- Experience with orchestration platforms, particularly Kubernetes.
- Experience with user acceptance/E2E testing (TestCafe, Playwright).
- Experience with UX design and related concepts.
Benefits
- DomainTools embraces diversity, equity and inclusion to its fullest as an
- We believe inclusivity and equity fosters innovation and growth, and we harness this mindset to drive a culture that serves our employees and our customers.
Equal opportunity
- equal opportunity employer.
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This listing is sourced directly from DomainTools's careers page and normalized into a canonical job model.