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Senior SDET Engineer

BackOps AI

Location

Remote

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Company Description

BackOps AI is transforming supply chain operations with agentic AI solutions that automate complex workflows, freeing operations teams to focus on what matters most. Headquartered in the San Francisco Bay Area with flexible remote-friendly options, we foster a culture of innovation, ownership, and measurable impact.

Role Description

We are looking for a Senior SDET to lead the design, standardization, and evolution of our browser automation ecosystem.

You will work closely with FDE engineers to establish automation architecture, define best practices, and build the shared foundations that enable reliable and efficient development of business-critical automation workflows.

This role requires a strong combination of Python engineering, deep Playwright expertise, systems thinking, and a hands-on approach to building automation that runs in production environments.

What You'll Do

  • Design and build a core browser automation framework in Python and Playwright
  • Standardize patterns, conventions, and best practices across automation projects
  • Develop and maintain browser automation workflows that support production business processes
  • Create reusable tooling and abstractions that enable FDE engineers to build automation faster and more consistently
  • Improve automation reliability through better error handling, retries, logging, and diagnostics
  • Partner with engineers across teams through code reviews, technical guidance, and hands-on collaboration

What We're Looking For

  • 6\+ years of experience in software engineering, SDET, or test automation engineering roles
  • Strong Python skills and experience writing clean, maintainable, reusable code
  • Deep hands-on experience with Playwright and browser automation for complex UI workflows
  • Proven experience building or evolving automation frameworks and shared libraries
  • Experience with automation execution models such as scheduling, orchestration, retries, and monitoring
  • Ability to identify common patterns and turn fragmented solutions into scalable abstractions
  • Comfort working in fast-paced, ambiguous startup environments
  • Strong communication skills and the ability to work effectively with cross-functional teams

Nice to Have

  • Experience with AWS-based environments
  • Experience with workflow automation beyond traditional test automation

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