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Source Direct

Automation Engineer (Mid-Level SDET)

Posted 2 Days Ago
Remote
Hiring Remotely in United States
120K-140K Annually
Mid level
Remote
Hiring Remotely in United States
120K-140K Annually
Mid level
Build and maintain scalable UI, API, and backend test automation using Python, Robot Framework, Playwright, and Selenium. Integrate testing into Jenkins and CI/CD pipelines, develop Page Object Model scenarios, analyze quality metrics, and improve software reliability. Collaborate with engineering, architecture, product, and UX teams; mentor junior QA engineers; and use AI-assisted tools safely for test generation and maintenance. The role is remote and requires no regular travel.
The summary above was generated by AI
Automation Engineer (Mid-Level SDET)
Remote – Home Based
Job Summary

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.

Essential Duties and 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

What You’ll Do
  • 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

Tech Stack
  • 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)

Working Conditions
  • Remote position

  • No regular travel required

What We’re Looking For

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

About the Opportunity

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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