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Vineet Kumar

QE Manager & SDET Lead
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Vineet Kumar

QE Manager · SDET Lead · AI Test Automation Architect

Toronto, ON, Canada · +1 437-428-2199 · contactkrvineet@gmail.com
linkedin.com/in/vineet2311 · github.com/contactkrvineet · vineetkr.com

Permanent Resident, Canada · No sponsorship required

Career Highlights

78%Regression cycle cut (5 days → 11 hrs) at Goldman Sachs
3,000+Tests across 12 banking microservices
5 AI agentsShipped to the Goldman Sachs QE team
12 engineersSDET team led across CA, US, IN
16+ yearsRegulated banking and digital commerce

Professional Summary

QE Manager and SDET Lead with 16+ years building test automation for regulated banking and digital commerce. Currently architecting AI-driven QE workflows at Goldman Sachs through Publicis Sapient, including code review, requirements-to-test generation, and self-healing automation agents. Lead a 12-engineer global SDET team and have shipped frameworks covering 3,000+ tests across 12 banking microservices.

Technical Skills

Languages
Java, Python, TypeScript, JavaScript, SQL
Test Automation
Selenium WebDriver, Playwright, Appium, REST Assured, Pact (contract testing), Cucumber (BDD), TestNG, Postman, WireMock, JMeter, Gatling
AI / LLM Engineering
LangChain, RAG pipelines, prompt engineering for QE workflows, MCP servers (including Playwright MCP), Claude Code for agentic development, multi-provider LLM integration (Anthropic, OpenAI, Groq, Ollama)
CI/CD, Cloud, DevOps
Jenkins, GitLab CI/CD, GitHub Actions, Docker, AWS (CodePipeline, EC2, Device Farm), Maven, Gradle, SonarQube, Allure, Extent Reports, Jira, Zephyr
Practices
Shift-left testing, TDD, BDD, Page Object Model, contract testing, flaky test management, test data management, performance engineering
Domain
Banking, Wealth Management, Payments, Salesforce CRM, Digital Commerce, Retail

Professional Experience

QE Manager — Publicis Sapient (Global delivery: CA, US, IN)

Nov 2015 — Present

Progression: SDET → SDET Lead → QE Manager · Client: Goldman Sachs (Wealth Management & Banking)

  • Architected the BDD framework (Selenium WebDriver + Java + TestNG + Cucumber) covering 3,000+ test cases across 12 banking microservices including Salesforce CRM and financial transaction processing. Cut regression from 5 days to 11 hours (78%).
  • Ran integration testing across 12 banking microservices and 4 downstream systems during weekly release cycles; partnered with dev leads on hotfix validation. Achieved 6 consecutive zero-rollback production deployments.
  • Shifted testing into PR pipelines on 12 banking repos with PR-gated unit/contract tests and pre-merge static checks. Reduced production defects by 25% and MTTD on critical issues by 60%.
  • Built REST Assured API automation with Pact contract testing across 12+ microservices; integrated into Jenkins/GitLab CI/CD with parallel execution, Allure reporting, Slack alerts.
  • Built a dynamic test data service (Java + REST) replacing shared QA databases; enabled isolated parallel test runs across 8 feature suites.
  • Designed enterprise load and performance testing strategy (JMeter, Gatling) validating 5,000+ concurrent users; identified bottlenecks that improved API response time by 30% under peak transaction volumes.
  • Built a weekly quality dashboard (Allure + executive scorecard) used by 4 engineering directors; release-readiness scorecard gated 30+ production deployments.

AI Agents shipped to the Goldman Sachs QE team

Agents run in QA environments with outputs validated through banking compliance gates before promotion.

AI Code Review Agent (Python + Claude via MCP server) — scans GitLab MR diffs against POM & framework standards, posts inline comments. Adopted across 4 active QE repos.
AI Requirements-to-Acceptance-Criteria Agent — reads Confluence business requirements, pushes compliance-format acceptance criteria into Jira. Cuts BA-to-QE handoff time.
AI Feature File & Step Reuse Agent — generates Gherkin from Jira AC and detects existing step definitions to prevent duplication. Reduced feature authoring cycle from 3 days to 18 hours.
AI Component & Locator Reuse Agent — analyzes DOM, reuses Page Object components/locators or generates framework-conformant new ones; auto-maps feature files to glue and step definitions.
AI Smart Test Impact Agent (Python + LLM) — analyzes commit diffs for impacted Salesforce modules (@opp, @lead, @pardot), triggers a targeted subset for fast feedback, then runs full @regression as second-pass safety.

Leadership

  • Managed and mentored a 12-engineer SDET team across CA, US, IN; owned hiring, structured onboarding, 1:1s, performance reviews.
  • Partnered with engineering and product leadership on quarterly quality OKRs and release readiness.
  • Authored QE coding standards (POM patterns, naming, linting, SonarQube gates) adopted by 4 squads; reduced code review iteration by ~35% and SDET onboarding from 3 weeks to 10 days.

Prior clients (Retail & Digital Commerce)

Marriott International · Lowe's · Bed Bath & Beyond

  • Built cross-platform Appium + Selenium frameworks (iOS, Android, responsive web) covering 1,200+ test cases for cart, payments, order management and account workflows with dynamic test data generation.
  • Built CI/CD pipelines on AWS (CodePipeline, EC2) with Report Portal dashboards; led flaky test remediation reducing suite instability from 18% to under 3%.

Senior Test Engineer — NIIT Technologies

Mar 2015 — Nov 2015
  • Built Selenium + TestNG automation and reusable utilities for the SITA aviation system; reduced test development time by 30%.

Senior Test Engineer — Aptara Inc. (acquired iServices)

May 2014 — Mar 2015
  • Led API test automation (REST Assured + Postman) for a content management platform with 60+ endpoints across 4 microservices.
  • Jenkins integration reduced manual regression effort by 50%.
  • Mentored 3 junior QA engineers.

QA Analyst — iServices (Client: BancTec)

Dec 2013 — Apr 2014
  • Functional and regression testing for the BancTec document capture and workflow processing platform.
  • Authored test cases for enterprise document workflows.

QA Analyst — Toluna

Jul 2010 — Nov 2013
  • Functional, regression, and UAT testing for a survey and panel SaaS platform serving 4M+ users.
  • Introduced Selenium IDE automation that reduced manual regression cycles from 3 days to 8 hours.

Selected Projects & Open Source

  • AI Code Review Agent — standalone LLM-based code review tool built in personal time. Paste any GitHub/GitLab URL to flag style and convention violations. Pluggable LLM backends (Claude, Gemini, Ollama, OpenAI), structured JSON output, GitHub Actions integration.
    Live: codereview.vineetkr.com
  • Playwright BDD Framework (TypeScript) — production-grade framework with multi-reporter support (Cucumber HTML, Allure, Bootstrap), parallel execution, multi-browser, and GitHub Actions CI.
    Live report: contactkrvineet.github.io/playwright-bdd-framework
  • Python BDD Automation Framework — Behave + Selenium + Requests with dual UI/API testing, Page Object Model, parallel execution, environment configurability, multiple report formats.
    GitHub: github.com/contactkrvineet/python-bdd-automation-framework

Curated showcase: vineetkr.com/project

Speaking & Community

  • BrowserStack — Speaker, Transforming Test Automation with AI · Toronto · Mar 2026 (upcoming)
  • Agile Testing Alliance (ATAGTR2025) — Speaker, Smart Test Execution with AI · Virtual · Nov 2025
  • Testing Mind TAS25 — Speaker, AI in Test Automation · Toronto · Jun 2025

All sessions: vineetkr.com/about#speaker

Education

B.Tech, Computer Science — Uttar Pradesh Technical University, India · 2008

Certifications

SAFe POPM AWS GenAI Essentials Azure Fundamentals (AZ-900) ISTQB Foundation PCEP — Python