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Sample resume with fictional details. Replace the content with your own experience and qualifications. Format: Modern two column.

Sample resume

Suresh Reddy

Senior SDET (Software Development Engineer in Test) - Playwright Specialist · 7 years experience

Hyderabad, Telangana

[Your email] · [Your phone]
[Your LinkedIn URL] · [Your GitHub / Portfolio URL]

Professional Summary

  • Accomplished Senior SDET with 7 years of expertise in designing and implementing scalable test automation frameworks using Playwright and Selenium
  • Proficient in Java, Python, and JavaScript for developing robust automation solutions and custom testing tools
  • Experienced in CI/CD integration with Jenkins, GitHub Actions, and Azure DevOps for seamless continuous testing
  • Skilled in API testing, performance testing, and security testing for microservices and web applications
  • Knowledgeable in Agile/Scrum methodologies, BDD, and TDD approaches for quality-driven development
  • Strong background in framework design and development, creating reusable components and test architectures
  • Familiar with cloud platforms, containerization, and microservices testing for modern application architectures
  • Collaborative leader adept at mentoring junior engineers and establishing automation best practices

Work Experience

Senior SDET (Software Development Engineer in Test) - Playwright Specialist

[Company name] · [Start date – End date]

7 years of leadership experience as a Senior SDET at top-tier technology firms in Hyderabad, specializing in Playwright automation and framework architecture. Led automation initiatives for 25+ projects, improving test coverage by 80% and reducing release cycles by 50%.

Responsibilities

  • Design, develop, and maintain automated test frameworks and scripts using Selenium, Playwright, Rest Assured, and custom development tools
  • Implement and manage CI/CD pipelines with comprehensive automated testing integration using Jenkins, GitHub Actions, and Azure DevOps
  • Perform API, performance, security, and integration testing for microservices, web applications, and mobile platforms
  • Collaborate with development teams in Agile/Scrum environments to ensure testability and quality throughout the SDLC
  • Develop and execute test strategies for complex systems, including AI components, cloud services, and data pipelines
  • Analyze test results, identify defects, and lead root cause analysis with cross-functional teams
  • Mentor junior SDETs, conduct code reviews, and establish best practices for automation and quality engineering
  • Integrate security testing, vulnerability assessments, and performance monitoring into testing processes
  • Work on advanced automation projects involving AI, machine learning, and enterprise system integrations
  • Contribute to development standards, provide feedback on code quality, and participate in architectural decisions
  • Architect AI quality frameworks: design LLM pipeline testing standards, agentic AI workflow validation, RAG accuracy testing, prompt injection defenses, and MCP tool-call contract testing across the organization
  • Lead GitHub Copilot adoption for test engineering teams and establish AI observability practices with OpenTelemetry integration

Project Experience

Enterprise Microservices Platform

Architected and implemented a comprehensive test automation framework using Playwright and Rest Assured for a cloud-based microservices ecosystem. Developed custom utilities for API mocking and contract testing, achieving 95% automation coverage across 200+ services. Technologies: Playwright, Java, Python, Rest Assured, Kubernetes, Jenkins, GitHub Actions.

E-commerce SaaS Solution

Led the design and development of a hybrid automation framework combining Playwright for UI testing and Selenium for legacy system integration. Implemented performance testing with JMeter and security testing protocols, ensuring zero downtime for 1M+ daily users. Technologies: Playwright, Selenium, Python, JMeter, AWS, Azure DevOps, SQL.

AI-Driven Analytics Platform

Developed automated testing strategies for machine learning pipelines and data processing workflows. Created custom test frameworks for model validation, data drift detection, and API performance testing, integrating with CI/CD for continuous validation. Technologies: Python, Playwright, TensorFlow, Databricks, Git, Jenkins, REST Assured.

Agentic AI Test Architecture for LLM Platform

Designed comprehensive test framework for a multi-agent LLM platform, implementing MCP tool-call validation, agent behavior testing, RAG pipeline accuracy checks, and prompt injection security tests using DeepEval and PromptBench. Integrated OpenTelemetry traces for AI observability and established organizational standards for LLM testing. Technologies: Python, Playwright, DeepEval, MCP Testing, RAG Pipeline Testing, Prompt Injection Testing, OpenTelemetry, GitHub Copilot, GitHub Actions.