QA Solution Architect

About the role

Title: QA 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.

About technology at ApTask

Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialise in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll.