Join as a Software Engineer to build AI full-stack solutions and shape an engineering culture that values autonomy, creativity, and technical excellence.
What do we offer?
- A central role in the team that defines the next products, not just maintains the existing ones
- End-to-end ownership of the agentic AI layer on top of what Labs ships
- AI-assisted development as a first-class practice, Claude Code, Cursor, Copilot, with the autonomy to exercise real engineering judgment
- Modern, multi-cloud stack: MongoDB + SQL, Azure + AWS
- Real influence over architecture, technical standards, and engineering culture beyond your immediate team
- A high-bar technical environment where your architectural decisions impact multiple teams and products
Responsibilities:
- Automated Framework Development: Design, build, and maintain scalable automated testing suites for UI, API, and database layers from scratch.
- Build Hardening & Release Management: Integrate automated tests into CI/CD pipelines to validate builds, detect regressions early, and ensure seamless deployment readiness.
- UI & Visual Snapshot Testing: Implement automated visual regression and UI testing using modern frameworks (Playwright or Selenium).
- API & Data Validation: Execute comprehensive API automation and perform complex data comparisons directly against MongoDB and SQL databases to ensure end-to-end data integrity.
- BDD Implementation: Write and maintain automated acceptance tests using Behavior-Driven Development (BDD) methodologies.
- Infrastructure & Pipeline Integration: Collaborate with platform/DevOps teams to run automated test suites within Kubernetes and Terraform containerized environments.
If you have:
- Experience: 4+ years of dedicated experience as a QA Automation Engineer or SDET.
- 100% Automation Focus: Proven track record in pure automation; this role does not involve manual exploratory testing.
- Core Development Stack: Strong proficiency in .NET / C# for writing clean, maintainab