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Envision Technology Solutions

Berkeley Heights / Global

Solutions Architect

Job Description

Role – Solution Architect

Location - Berkeley Heights, NJ – Onsite

Fulltime position

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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