Solutions Architect

Envision Technology Solutions · Berkeley Heights, NJ

Spotted 1h agofulltime
Job description

About this role

Employer-provided description, formatted for easier reading.

Role: Solution Architect

Location: Berkeley heights, NJ (5 days onsite per week)

Hire Type: Fulltime

Job Description-

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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