Software Quality Engineer-Automation

Protolabs; Hyderabad; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Protolabs in India is seeking a Software Quality Engineer – Automation to drive test automation across multiple product teams. You will design scalable automation solutions, embed quality throughout the SDLC, and leverage AI/LLM tools to accelerate test development and debugging.

Collaboration with DevOps and cross-functional teams is essential to enhance reliability. You will work on Web UI, API, and backend automation, contribute to coding standards, and help raise quality benchmarks through

Qualifications

• 5–8 years of hands-on experience in Software Quality Engineering and Test Automation.
• Strong experience with automation frameworks and tools such as Playwright, REST Assured, or equivalent technologies.
• Strong programming experience in Python and C#.
• Hands-on experience in Web UI, API, and backend automation testing.
• Experience integrating automated testing into CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Experience working with source control systems such as Git.
• Hands-on experience using AI/LLM tools for test generation, automation scripting, debugging, failure analysis, and productivity improvements.

Responsibilities

• Design, develop, and maintain automated test scripts and reusable automation components.
• Build and enhance automation frameworks to support scalable and efficient testing across multiple product teams.
• Perform hands-on automation testing for web applications, APIs, and backend services.
• Contribute to automation standards, reusable libraries, and best practices within the Software Quality CoE.
• Identify opportunities to improve automation coverage, maintainability, and testing efficiency.
• Execute automated testing across Web UI, API, and backend applications to ensure product quality and reliability.
• Perform manual and exploratory testing when automation is not feasible or appropriate.
• Apply software testing methodologies and test design techniques to develop effective test scenarios.
• Analyse test execution results, identify defects, and support root cause analysis.
• Collaborate with development and product teams to identify quality risks and resolve issues throughout the software development lifecycle.
• Integrate automated test suites into CI/CD pipelines to enable continuous testing.
• Work closely with DevOps and development teams to improve testing efficiency within software delivery workflows.
• Support automated test execution and validation as part of continuous integration and deployment processes.
• Identify and troubleshoot automation failures, test execution issues, and pipeline-related challenges.
• Contribute to improving the reliability and effectiveness of automated testing practices.
• Use modern AI/LLM tools to accelerate test case generation, automation scripting, and test development.
• Leverage AI-assisted tools to improve debugging, defect investigation, and failure analysis.
• Explore opportunities to enhance testing productivity through AI-supported automation practices.

Skills

Playwright

REST Assured

Python

C#

Web UI testing

Tools

Git

Jenkins

GitHub Actions

GitLab CI

Azure DevOps

Job description

Join the team as our new Software Quality Engineer – Automation – India

You will be responsible for driving test automation, improving test coverage, and ensuring high product quality across multiple product teams. As part of our Software Quality Center of Excellence (CoE), you will design and implement scalable automation solutions, strengthen quality engineering practices, and collaborate with cross-functional teams to embed quality throughout the software development lifecycle. You will also leverage modern AI/LLM tools to enhance test development, debugging, defect analysis, and overall testing efficiency.

What You'll Do

Build & Enhance Test Automation Frameworks

• Design, develop, and maintain automated test scripts and reusable automation components.
• Build and enhance automation frameworks to support scalable and efficient testing across multiple product teams.
• Perform hands‑on automation testing for web applications, APIs, and backend services.
• Contribute to automation standards, reusable libraries, and best practices within the Software Quality CoE.
• Identify opportunities to improve automation coverage, maintainability, and testing efficiency.

Drive End-to-End Quality Engineering & Testing

• Execute automated testing across Web UI, API, and backend applications to ensure product quality and reliability.
• Perform manual and exploratory testing when automation is not feasible or appropriate.
• Apply software testing methodologies and test design techniques to develop effective test scenarios.
• Analyse test execution results, identify defects, and support root cause analysis.
• Collaborate with development and product teams to identify quality risks and resolve issues throughout the software development lifecycle.

Integrate Automation into CI/CD & Continuous Testing

• Integrate automated test suites into CI/CD pipelines to enable continuous testing.
• Work closely with DevOps and development teams to improve testing efficiency within software delivery workflows.
• Support automated test execution and validation as part of continuous integration and deployment processes.
• Identify and troubleshoot automation failures, test execution issues, and pipeline-related challenges.
• Contribute to improving the reliability and effectiveness of automated testing practices.

Leverage AI/LLM Tools for Quality Engineering

• Use modern AI/LLM tools to accelerate test case generation, automation scripting, and test development.
• Leverage AI-assisted tools to improve debugging, defect investigation, and failure analysis.
• Explore opportunities to enhance testing productivity through AI-supported automation practices.
• Apply AI/LLM capabilities to streamline repetitive testing activities and improve engineering efficiency.
• Continuously evaluate new approaches to AI-assisted testing and contribute relevant practices to the Quality CoE.

Collaborate Across Product Teams & Drive Quality Standards

• Work closely with Software Developers, Product Teams, and DevOps Engineers to ensure quality throughout the SDLC.
• Collaborate across multiple product teams to support automation adoption and improve test coverage.
• Contribute reusable automation assets, testing standards, and best practices to the Software Quality CoE.
• Share knowledge and practical testing approaches to strengthen quality engineering capabilities.
• Promote continuous improvement in automation frameworks, testing processes, and overall product quality.

What It Takes

Technical

• 5–8 years of hands‑on experience in Software Quality Engineering and Test Automation.
• Strong experience with automation frameworks and tools such as Playwright, REST Assured, or equivalent technologies.
• Strong programming experience in Python and C#.
• Hands‑on experience in Web UI, API, and backend automation testing.
• Solid understanding of software testing methodologies, test design techniques, and QA best practices.
• Experience integrating automated testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Experience working with source control systems such as Git.
• Hands‑on experience using AI/LLM tools for test generation, automation scripting, debugging, failure analysis, and productivity improvements.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Experience in PLM (Product Lifecycle Management) or Digital Manufacturing domains is an advantage.
• Exposure to performance testing, security testing, or test data management is preferred.
• Familiarity with cloud‑based testing or containerised environments using Docker or Kubernetes is an added advantage.

Leadership & Collaboration

• Experience collaborating with Software Developers, Product Teams, DevOps Engineers, and other cross‑functional stakeholders.
• Ability to work across multiple product teams and contribute to shared automation and quality engineering initiatives.
• Strong communication and interpersonal skills with the ability to discuss technical issues and testing outcomes effectively.
• Ability to contribute to automation standards, reusable testing assets, and best practices across the Software Quality CoE.
• Strong problem‑solving capabilities with a proactive approach to identifying and resolving quality issues.
• Ability to work independently while contributing effectively to team objectives and continuous improvement initiatives.

Mindset

• Automation‑first mindset with a strong commitment to software quality and reliability.
• Hands‑on and pragmatic approach to quality engineering, with the flexibility to perform manual testing when required.
• Strong sense of ownership and accountability for testing outcomes and product quality.
• Proactive and analytical approach to identifying defects, troubleshooting issues, and improving testing practices.
• Curiosity and willingness to explore modern testing technologies, including AI-assisted automation.
• Continuous learning mindset with a passion for modern Quality Engineering practices.
• Collaborative and improvement‑oriented approach to building reusable, scalable, and effective testing solutions.

What's In It For You – India

• Opportunity to contribute to a Software Quality Center of Excellence supporting multiple product teams.
• Exposure to modern automation frameworks, AI-assisted testing, and continuous testing practices.
• Opportunity to work on Web UI, API, and backend automation across diverse applications.
• Collaboration with Software Engineering, Product, and DevOps teams.
• Opportunity to develop reusable automation frameworks and influence quality engineering standards.
• Exposure to modern CI/CD practices, cloud‑based testing, and evolving quality engineering technologies.
• Opportunities to strengthen technical expertise in automation engineering, AI-assisted testing, and software quality.
• A collaborative environment focused on innovation, continuous learning, and improving product quality.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.