Automation Engineer (Mid-Level SDET)

Sourcedirect Talent
Remote

About The Position

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.

Requirements

  • 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

Nice To Haves

  • Experience in clinical trials or healthcare is a strong plus

Responsibilities

  • 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
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