Software Developer Engineer in Test

Company: People Inpact

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 22-26 Lacs PA

Job Description Our client is a global IT Services & Consulting organisation with offices in several countries and established presence in India. They are a household name in their sphere if business and continue to expand and grow their presence here.

We are seeking an experienced SDET Engineer Automation to drive quality engineering and automation initiatives for enterprise applications. The ideal candidate will have strong expertise in designing scalable automation frameworks, API and UI testing, data validation, and integrating automated testing into CI/CD pipelines. This role requires a quality-first mindset with hands-on coding experience and exposure to AI-assisted development tools.

Key Responsibilities

• Design, develop, and maintain scalable automation frameworks using Java, Selenium, Cucumber BDD, and Serenity BDD.
• Develop and execute automated UI and API test suites using REST Assured.
• Validate data using SQL and perform testing across data platforms, ETL processes, data pipelines, MDM, and Data APIs.
• Execute end-to-end testing including Unit, Integration, API, Smoke, System, Regression, and Performance Testing.
• Integrate automation suites into CI/CD pipelines for continuous testing and quality gates.
• Create and maintain reusable automation libraries, utilities, and reporting dashboards.
• Develop automation solutions for enterprise applications built using Java and Spring Boot.
• Participate in requirement analysis, user story refinement, sprint planning, and test strategy discussions.
• Manage test data, test execution, defect lifecycle, and quality metrics across multiple environments.
• Collaborate closely with developers, data engineers, DevOps teams, and product owners in Agile delivery teams.
• Leverage AI tools such as GitHub Copilot and Claude to improve automation productivity and code quality.
• Support release validation and deployment activities across development, QA, and production environments.

Required Skills & Experience

• 6+ years of experience as an SDET / QA Automation Engineer.
• Strong hands-on experience designing and maintaining automation frameworks using:
• Java
• Selenium WebDriver
• Cucumber BDD
• Serenity BDD
• REST Assured
• Good programming skills in Java with experience in automation framework architecture and reusable component development.
• Experience with Spring Boot applications and backend testing.
• Strong SQL skills with experience in:
• Data validation
• Test data creation
• Database testing
• ETL testing
• Data warehouse testing
• Master Data Management (MDM)
• Data pipelines and Data APIs
• Solid understanding of QA methodologies, test planning, defect management, and quality metrics.
• Experience with CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions, or similar).
• Working knowledge of Agile/Scrum methodologies and in-sprint automation practices.
• Experience with release deployments and testing across multiple environments.
• Exposure to cloud platforms such as AWS or Azure.
• Hands-on experience using AI-assisted development tools such as GitHub Copilot.

Good to Have

• React application testing experience.
• Knowledge of API design and architecture.
• Performance testing exposure (JMeter or similar tools).
• Experience with Test Management tools such as Jira, Zephyr, or Xray.
• Experience with Docker or Kubernetes environments.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder collaboration abilities.
• Ability to work independently in a fast-paced Agile environment.

Why Join Us?

• Work on enterprise-scale applications and modern data platforms.
• Build robust automation frameworks that drive continuous quality.
• Exposure to cloud-native technologies and AI-assisted software engineering.
• Collaborative Agile environment with opportunities for technical growth and innovation.