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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining test strategies, developing automation frameworks, and integrating testing into CI/CD pipelines. Proficient in utilizing AI coding assistants and managing quality engineering processes within Agile teams.
Highest-signal resume keywords
Test Automation Framework DevelopmentCI/CD Pipeline IntegrationSelenium, Playwright, or Cypress ProficiencyProduction-Quality Automation Code in C#, Java, Python, or JavaScript/TypeScriptSQL Skills for Database Validation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Test Strategy DefinitionAutomation Framework ArchitectureAPI Testing with REST AssuredComplex SQL QueriesPerformance EngineeringScalability DesignObservability PracticesCross-Browser TestingAgile/Iterative DeliveryRisk-Based Release Readiness Reporting
Soft Skills
Effective CommunicationLeadership in Quality EngineeringCollaboration with Cross-Functional TeamsCoaching and MentoringProblem-Solving
Tools & Technologies
Azure DevOpsGitHub ActionsDBeaverBrowserStackAWS ServicesAI Coding AssistantsModel Context ProtocolDockerKubernetesVisual Studio
Certifications & Qualifications
ISTQB Certification or Equivalent
Industry Keywords
Quality Assurance LifecycleTest Coverage MetricsAgile DeliveryShift-Left TestingCloud-Based Test Environment Provisioning
Tech Stack
Tools & technologiesAWSAzureCloudCypressDockerJavaJavaScriptJenkinsKubernetesPostgresPythonSeleniumSQLTypeScript
About the role
Key responsibilities & impact- Define and own the test strategy, framework architecture, and tooling roadmap for assigned product areas
- Translate business requirements into traceable functional, regression, integration, and end-to-end test cases
- Lead test plan reviews with developers, product owners, and project managers
- Define test coverage metrics and quality gates
- Produce risk-based release readiness reports for engineering leadership
- Use AI coding assistants to accelerate test script authorship, generate edge-case scenarios, and perform code review
- Configure and evaluate agentic workflows for autonomous test generation and self-healing locators
- Apply Model Context Protocol to connect AI agents to test tools, APIs, and data sources
- Define system instructions, skills, and tool configurations for AI coding agents
- Architect and maintain scalable UI and API automation frameworks using Selenium, Playwright, Cypress, REST Assured, or similar tools
- Integrate automation into CI/CD pipelines via Azure DevOps or GitHub Actions
- Write complex SQL queries to validate PostgreSQL backend data integrity using DBeaver
- Build data-driven test suites for parallel and cross-browser execution
- Isolate, document, and track defects in Azure DevOps
- Lead exploratory testing sessions and root-cause analysis on escaped defects
- Serve as quality engineering lead across Agile delivery teams
- Participate in sprint planning, backlog grooming, standups, and retrospectives
- Conduct code reviews and coach developers and team members on shift-left testing and quality engineering standards
Requirements
What you’ll need- B.E./B.Tech. in Computer Science, MIS, or related discipline
- 4 to 7 years in software quality engineering, with the majority in test automation and framework development on a commercial product
- Production-quality automation code in C#, Java, Python, or JavaScript/TypeScript
- Proficiency with Selenium, Playwright, or Cypress
- API testing with REST Assured, Postman, or SoapUI
- CI/CD pipeline experience with Azure DevOps, GitHub Actions, or Jenkins
- Strong Git skills
- Cross-browser testing with BrowserStack or equivalent
- Solid SQL skills for database validation
- Deep understanding of QA lifecycle and Agile/Iterative delivery
- Ability to produce test strategies and quality summaries for technical and non-technical audiences
- Experience with performance engineering, scalability design, and observability practices in production systems
- Hands-on experience with AWS services including Lambda, ECS, RDS, API Gateway, and CloudWatch
- Practical daily use of AI coding assistants such as GitHub Copilot, Claude Code, or Cursor
- Ability to craft effective prompts and system instructions
- Understanding of AI agents, skills, and tool-calling
- Familiarity with Model Context Protocol (MCP)
- Preferred: performance and/or security testing, TDD/BDD, Docker, Kubernetes, JavaScript/TypeScript, Visual Studio, Microsoft development ecosystem, ISTQB certification or equivalent credential, AWS services, cloud-based test environment provisioning, and infrastructure as code
Benefits
Comp & perks- Hybrid work arrangement
- Opportunity to join Huron’s product engineering team
- Mentorship and coaching opportunities
- Agile team collaboration and professional development through code reviews, sprint planning, backlog grooming, standups, and retrospectives