O
Omiz Staffing Solutions (OSS)
QA Automation Solution Architect
Skills
Google Cloud PlatformTypescriptPython.NETTesting & QAMicroservicesPlaywrightAIGitHubJiraAzure
15 days ago
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Important information
Contract type:
Permanent
Location:
Berkeley Heights, NJ, USA
Work mode:
Onsite
Published on:
10 October 2026
What they need
DESCRIPTION: QA Automation Solution Architect
Job Responsibilities
- Minimum 15+ years of experience in building automated solutions to cover UI frontend, middle tier, and backend interfaces and services
- Leads the design and implementation of enterprise test automation frameworks, methodology and tool integration for all teams
- Provides automation expertise, training and coaching to team members
- Determines range and depth of activities required for developing or customizing complex test automation frameworks, researching and onboarding automation tools for IT
- Deliver a robust automation framework built upon established and proven open source or commercial tools to support Agile/Scrum development, DevOps and CI/CD
- Design and architect modular and reusable automated testing solutions that satisfy client requirements
- Research, evaluation, and deployment of new test tools
- Trains teams to implement expanded automation coverage by adding automated environment validation, smoke and functional test scripts to CI/CD pipeline
- Identifies and directs the implementation of test automation related improvements that positively impact software delivery across the enterprise
- Be familiar with various automated tests tools for both front end and back end testing
- Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes
- Ability to assess functional and technical gaps in designs
- Support continuous improvement processes, analyzing problems and recommending actions for effective resolution
- Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities
- Design, develop and maintain API automation frameworks supporting authentication, request/response validation, schema validation, and integration with UI automation.
- Provide automation leadership, mentoring, technical guidance, and code reviews for automation engineers.
- Effectively utilize AI-assisted development tools to accelerate automation development while ensuring generated code meets enterprise coding, quality, and security standards.
- Promote automation best practices and continuous quality engineering across Agile development teams.
Required Technical Skills
- Playwright with TypeScript (Strong TypeScript coding experience)
- BDD automation using Cucumber
- Strong experience with .NET Core / .NET Framework applications
- API automation using Rest Assured or RestSharp
- Mobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack.
- Exposure to Applitools, Jira integrations (AssertThat BDD, Zephyr, Xray), and Service Virtualization is a plus.
- Strong software engineering background with 5–7 years of experience.
- Strong proficiency in Python, with the ability to review, validate, debug, and optimize AI-generated code for enterprise use.
- Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms.
- Expert AI/LLM framework LangChain/LangGraph, GCP/Azure, GraphDB/Vector Database
- Experience working with Spec-Driven Development methodologies.
- Hands-on experience with APIs, microservices, and modern application architectures.
- Professional Skills
- Strong problem-solving and analytical capabilities.
- Customer-facing communication and consulting skills.
- Ability to work independently in fast-paced environments.
- Experience collaborating with cross-functional and distributed teams.
- Strong ownership mindset with a focus on measurable business outcomes.
Preferred Qualifications
- Experience in Banking & Financial Services (BFS) domain.
- Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models.
- Understanding of cloud-native architectures and platform engineering.
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