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We’re partnering with a company in the SaaS and healthcare technology space to find a Mid-Level Automation Engineer (SDET). In this role, you’ll be on the technical forefront of ensuring the quality, reliability, and performance of software products.
You will design and maintain scalable test automation frameworks, integrate testing into CI/CD pipelines, and collaborate closely with test architecture, engineering, product, and UX teams to drive a culture of quality across the organization.
This is a hands-on role for someone passionate about software quality, continuous improvement, and mentoring others.
Develop, maintain, and scale end-to-end automation frameworks for UI, API, and backend services independently with minimal supervision
Integrate automated tests into CI/CD pipelines to ensure fast, reliable delivery
Define and execute comprehensive testing strategies across API, UI, integration, regression, performance, and security testing
Collaborate with engineers to improve code testability, reliability, and overall product quality
Track and analyze quality metrics, automation coverage, defect trends, and regression risks; recommend improvements
Participate in code reviews and provide technical guidance from a quality perspective
Mentor and coach junior QA/SDET engineers, promoting best practices in automation and quality engineering
Drive quality initiatives across teams, influencing design and architecture decisions to enhance testability
Leverage AI/ML tools for intelligent test generation, prioritization, defect prediction, and test data management
Advocate for quality in product planning, release readiness, and post-release analysis
Implement & Enhance: Translate requirements into robust, maintainable test automation using Python and Robot Framework, expanding existing suites rather than running static tests
Leverage AI Safely: Utilize AI tools (e.g., Cursor) to increase development velocity, while validating, debugging, and refining all AI-generated code to meet internal standards
Architecture Stewardship: Build test scenarios using the Page Object Model (POM), ensuring reuse and long-term maintainability
Pipeline Management: Monitor and debug CI/CD pipelines (Jenkins), ensuring test results are actionable and feedback loops are tight
Languages: Python 3.11+
Frameworks: Robot Framework 6.1.1, Playwright, Selenium
Core Patterns: Page Object Model (POM)
Tools: Cursor (AI-assisted coding), Pabot (Parallel Execution), Git, Jenkins, Testrigor, Postman
Cloud Environments: GCP, Azure
Database: SQL / Oracle DB (strong relational database knowledge)
Remote position
No regular travel required
We’re looking for a Quality Engineer who balances technical precision with a forward-thinking mindset. This person doesn’t just test code—they build systems that ensure long-term stability.
3–5 years of experience in software quality engineering with strong hands-on test automation expertise (Playwright, Selenium, etc.)
Strong coding skills in Python or JavaScript with emphasis on clean, modular, maintainable code
Strong understanding of architectural patterns such as Page Object Model (POM) and ability to implement independently
Solid understanding of SDLC, Agile practices, and CI/CD pipelines
Experience with cloud environments (GCP or Azure), relational databases (SQL), and tools such as GitHub Actions
AI-first mindset: familiarity with AI coding tools and understanding of their limitations, with emphasis on validation and reliability
Strong awareness of security and environment separation best practices
Ability to collaborate cross-functionally with architects and stakeholders
Passion for mentoring junior team members and driving a culture of quality
Experience in clinical trials or healthcare is a strong plus
Our client is focused on building technology that advances human health. They are seeking smart, capable, and conscientious engineers who want to contribute to meaningful work while helping scale high-quality software systems.
The team values collaboration, ingenuity, and a culture of excellence, with a shared focus on delivering the best possible user experience.
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