Software Developer building AI - enabled cybersecurity solutions for Arctic Wolf’s global security services. Developing scalable cloud - native web applications with React, TypeScript, Go/Python, and AWS.
About the role
- Senior Software Developer in Test responsible for development of automated tests supporting the Software Test Life Cycle while collaborating with product and development teams.
Responsibilities
- Analyze functional and technical requirements to define comprehensive test strategies and automation needs
- Design, write, maintain, and manage automated UI and API test suites
- Contribute to building and enhancing scalable automation frameworks (e.g., Playwright, Rest-Assured)
- Identify, plan, and execute exploratory, functional, integration, performance, and regression tests
- Collaborate with development and product teams to validate testing requirements and optimize test coverage
- Champion best practices for automation, test data management, CI/CD integration, and code quality
- Monitor, troubleshoot, and optimize automation pipelines and test frameworks for dependability, scalability, and stability
- Perform root cause analysis and support teams in identifying and preventing defects
Requirements
- 5+ years’ experience in QA/QE and test automation development roles, within a fast-paced Agile environment
- Strong understanding of software testing methodologies, automation design patterns, and the fundamentals of high-quality test case development
- 3+ years of hands-on experience with at least one automation framework for both UI and API test automation (Playwright, Cypress, Selenium, RestAssured, RestSharp, Pytest, etc.)
- Hands-on experience with version control, issue tracking, and test case management tools (GitHub, Gitlab, JIRA, Xray, Zephyr, Qase, etc.)
- Proficiency with relational databases and data validation (SQL, MS SQL, Oracle, GraphQL, or DB2)
- Proficiency in one or more programming languages (Java, JavaScript,
- Typescript, C#, or Python)
- Hands-on experience to leverage modern AI tooling to improve testing and automation productivities
- Ability to think critically about system architecture and assess the impact of product changes across components
- Strong troubleshooting, analytical, and problem-solving skills
- Exceptional written and verbal communication skills, with the ability to articulate both technical and non-technical concepts
- Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies.
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