Software Engineer in Test - SDET

About the Role

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.

Roles & Responsibilities

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.

Execution

• Design, develop, and maintain scalable automation frameworks using Playwright, Cucumber (BDD), Python, and Java.
• Automate web, mobile, API, and end-to-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.

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-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.