Noida, Uttar Pradesh, India · On-site
The Role We are seeking an experienced SDET to join our development team. The ideal candidate will have a strong background in testing methodologies, quality processes, and defect management. This role is critical in ens…
Skills: Playwright, K6, JavaScript, Python, CI/CD
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The SDET will enhance the Playwright automation framework and validate complex system workflows across UI, API, and backend layers. They will also build internal QA tools and advocate for shift-left quality to improve system testability.
Candidates need 3-5 years of QA automation experience with proficiency in Playwright, JavaScript or Python, and CI/CD pipelines. Experience with AWS, Docker, and performance testing tools like k6 or JMeter is required.
The Role
We are seeking an experienced SDET to join our development team. The ideal candidate will have a strong background in testing methodologies, quality processes, and defect management. This role is critical in ensuring the delivery of high-quality software products through comprehensive testing strategies and process improvements.
Key Responsibilities
Enhance and maintain the existing Playwright automation framework, expanding UI/API coverage and improving reliability, flakiness detection, and execution efficiency
Validate complex system workflows across UI, API, and backend layers, ensuring correctness, reliability, and consistency of every release
Build internal QA tools, improve test data workflows, and contribute to CI/CD quality gates and overall pipeline readiness
Perform functional, regression, and end-to-end automated testing
Advocate for shift-left quality and influence system design and architecture for better testability.
Collaborate closely with developers, product owners, and business analysts
Maintain accurate documentation and onboarding materials for frameworks, tooling, and best practices
Participate in test strategy, test planning, and test estimation activities
Required Skills & Qualifications
3–5 years of experience in QA Automation
Expertise in enhancing and maintaining automation frameworks (Playwright or equivalent)
Proficiency in k6, JavaScript, or Python for scalable automation development
Hands-on experience with CI/CD pipelines and containerized infrastructure (Docker)
Working knowledge of AWS environment
Deep understanding of RESTful API testing, backend validation, mocks/stubs, and integration testing
Experience with performance and load testing tools like k6, Locust, or JMeter
Strong debugging skills, especially in distributed and microservices-based architectures
Basic knowledge of AI-driven testing techniques or LLM-based test generation
Excellent communication, documentation, and problem-solving abilities
Why You Should Join Us
Access to cutting-edge tools and technologies.
Competitive salary and benefits package.
A collaborative, dynamic, and supportive team.
Opportunities for career growth and development.
Flexible working hours.
Combining easy NGS analysis & visualization for bench scientists w/ efficient scaling & deployment for bioinformaticians
Basepair is a next generation bioinformatics company. Through a combination of intuitive interfaces and modern architecture we are reimagining what a commercial platform can deliver to R&D organizations. We're on a mission to make genomic data analysis & visualization more accessible to a broader range of scientists so that the promise of precision medicine can become a reality. One of the biggest challenges preventing this now arguably lies not with how the data gets generated and processed, but who is able to perform the analysis and understand what the resulting data means. Limiting this work to a select few, whether through choice or more often because of technology restrictions, especially for routine analyses, leads to reduced efficiency in R&D teams, longer times to market for assay manufacturers and increased turnaround times in clinical settings. Unlike other more traditional alternatives, our philosophy is not to ask bioinformaticians to change the way they work by having to build workflows on our platform. Instead, once they are built and ready for sharing or production settings, Basepair can significantly improve and accelerate both scaling & deployment to colleagues, collaborators and customers wherever they happen to be in the world. To do this in a way that is adapted to the dynamics of the market today, we believe a bioinformatics platform needs to: 1) Leverage the compute and storage resources in a third party cloud account without the requirement of installing inside an organization's vpc 2) Facilitate the bundling of analysis with the sale of a kit or assay through easy white labeling and tokens/coupons 3) Support ever increasing sample volumes and application areas through an extensible architecture that scales to millions of records, enables complete sample provenance and reduces cloud costs Introducing Basepair…bioinformatics reinvented.
Offices: 415 Madison Ave, FL 4, New York City, NY 10017, US
Combining easy NGS analysis & visualization for bench scientists w/ efficient scaling & deployment for bioinformaticians
Basepair is a next generation bioinformatics company. Through a combination of intuitive interfaces and modern architecture we are reimagining what a commercial platform can deliver to R&D organizations. We're on a mission to make genomic data analysis & visualization more accessible to a broader range of scientists so that the promise of precision medicine can become a reality. One of the biggest challenges preventing this now arguably lies not with how the data gets generated and processed, but who is able to perform the analysis and understand what the resulting data means. Limiting this work to a select few, whether through choice or more often because of technology restrictions, especially for routine analyses, leads to reduced efficiency in R&D teams, longer times to market for assay manufacturers and increased turnaround times in clinical settings. Unlike other more traditional alternatives, our philosophy is not to ask bioinformaticians to change the way they work by having to build workflows on our platform. Instead, once they are built and ready for sharing or production settings, Basepair can significantly improve and accelerate both scaling & deployment to colleagues, collaborators and customers wherever they happen to be in the world. To do this in a way that is adapted to the dynamics of the market today, we believe a bioinformatics platform needs to: 1) Leverage the compute and storage resources in a third party cloud account without the requirement of installing inside an organization's vpc 2) Facilitate the bundling of analysis with the sale of a kit or assay through easy white labeling and tokens/coupons 3) Support ever increasing sample volumes and application areas through an extensible architecture that scales to millions of records, enables complete sample provenance and reduces cloud costs Introducing Basepair…bioinformatics reinvented.
Offices: 415 Madison Ave, FL 4, New York City, NY 10017, US
