Software Engineer in Test - SDET
SatSure Analytics Pvt. Ltd.2 months ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Define quality strategies, testing standards, metrics, coverage targets, dashboards, and release readiness criteria.
- Design, develop, and maintain scalable automation frameworks using Playwright, Selenium, Cucumber, Python, Java, and REST Assured.
- Automate web, mobile, API, data, integration, and end-to-end workflows.
- Integrate automated test suites and quality gates into CI/CD pipelines.
- Perform exploratory, functional, regression, usability, performance, scalability, and data validation testing.
- Validate data quality, data integrity, ETL pipelines, geospatial datasets, and business-critical workflows.
- Investigate production issues, perform root-cause analysis, and verify fixes across environments.
- Collaborate with Product, Engineering, DevOps, and Data teams through design reviews, code reviews, sprint ceremonies, and release planning.
- Contribute production-quality testing utilities and engineering tools, including AI-assisted testing and intelligent test selection.
Requirements
- Requires 2–4 years of experience in Quality Engineering, Test Automation, or Software Quality.
- Requires a bachelor's degree in Computer Science, Information Technology, or a related engineering discipline.
- Strong programming skills in Python or Java are required.
- Experience with Playwright, Selenium, Cucumber, or equivalent automation frameworks is required.
- Experience building scalable test automation frameworks and writing production-quality code alongside software engineers is required.
- Experience testing web applications, APIs, data pipelines, distributed systems, and unit, integration, end-to-end, performance, and data scenarios is required.
- Familiarity with CI/CD pipelines, DevOps practices, Agile development, code reviews, exploratory testing, and modern Quality Engineering practices is required.
- Exposure to AI-assisted testing tools is required or preferred.
- Strong analytical, debugging, troubleshooting, and problem-solving skills are required.
- Knowledge of AWS, Azure, or GCP and experience testing GIS tools such as Quantum GIS or Google Earth are preferred.
Benefits
- Hybrid work arrangement.
- Medical insurance.
- Broadband allowance.
- Best-in-class leave policy.
- Continuous learning opportunities, engineering collaboration, and career growth in Quality Engineering.
- Opportunity to work on AI-powered products, geospatial platforms, data pipelines, APIs, and cloud-native systems.