Software Engineer in Test - SDET

We are looking for a Software Engineer in Test (SDET) to join our Quality Engineering team. You will build and maintain automation frameworks, develop scalable test solutions, and drive quality across web, mobile, API, and data platforms.

Working closely with product managers, developers, and DevOps engineers, you will integrate quality throughout the software development lifecycle through automation, CI/CD quality gates, and engineering best practices. You will own quality initiatives end‐to‐ndash;end, analyze production issues, improve release confidence, and help establish a strong quality‐first engineering culture.

Roles & Responsibilities

1. Planning & Design ● Define quality strategies, testing standards, and engineering best practices across the SDLC. ● Collaborate with developers during design and implementation to improve testability, reliability, observability, and maintainability. ● Identify quality risks early through requirement reviews, architecture discussions, and risk‐based analysis. ● Establish quality metrics, coverage targets, release readiness criteria, and quality dashboards. ● Drive Shift‐Left Quality practices and promote a quality‐first engineering culture. ● Use exploratory testing selectively for validating complex workflows, edge cases, and high‐risk areas where automation coverage is insufficient.

2. Execution ● Design, develop, and maintain scalable automation frameworks using Playwright, Cucumber (BDD), Python, and Java. ● Automate web, mobile, API, and end‐to‐dash;end workflows to improve test coverage and release confidence. ● Integrate automated test suites into CI/CD pipelines to enable continuous testing. ● Build reusable test utilities and frameworks that support rapid feature delivery. ● Perform exploratory, functional, regression, and usability testing across products and platforms. ● Design and execute performance and scalability tests to validate system reliability under varying workloads. ● 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.

3. Collaboration ● Partner with Product, Engineering, DevOps, and Data teams to embed quality throughout the development lifecycle. ● Participate in code and design reviews, sprint ceremonies, and release planning activities. Quality Engineering & AI Focus ● Design, build, and maintain scalable automation frameworks across UI, API, data, and platform layers. ● Develop and execute automated test suites covering functional, integration, end‐to‐dash;end, performance, and data validation scenarios. ● Integrate automated quality gates into CI/CD pipelines to enable reliable and efficient releases. ● Contribute production‐quality code, testing utilities, and engineering tools alongside software engineers. ● Participate in code reviews and advocate for quality, testability, and maintainability. ● Leverage AI‐assisted testing, intelligent test selection, and data‐driven quality insights to improve test effectiveness. ● Analyze production issues, identify quality gaps, and implement preventive improvements. ● Continuously improve automation maturity, test coverage, and engineering excellence through innovation and process optimization.

• 2–4 years of experience in Quality Engineering, Test Automation, or Software Quality.
• Strong programming skills in Python or Java.
• Hands‐on experience with Playwright, Selenium, Cucumber (BDD), or equivalent automation frameworks.
• Experience building and maintaining scalable test automation frameworks.
• Experience writing production‐quality code and developing automated tests alongside software engineers.
• Experience with web application, API, data pipeline, and distributed systems testing.
• Experience with unit, integration, end‐to‐end, performance, and data testing methodologies.
• Familiarity with CI/CD pipelines, DevOps practices, and Agile development methodologies.
• Experience participating in code reviews and contributing to engineering best practices.
• Exposure to AI‐assisted testing tools and modern Quality Engineering practices.
• Exposure to exploratory testing techniques for validating complex workflows and edge cases.
• Strong analytical, debugging, troubleshooting, and problem‐solving skills.