Staff Software Engineer, ClickUp

• Solid experience (8+ years preferred) as a software engineer in fast-paced product environments
• Expertise in TypeScript, Node and experience with test frameworks like Playwright, Jest, Mocha, Detox, Locust, JMeter or custom-built tools
• Strong fullstack understanding with deep knowledge of RESTful APIs, message queues, and service oriented architecture
• Experience with Docker, local environment orchestration, and integrating tests into CI pipelines (e.g., GitHub Actions, Harness)
• A strong understanding of modern test pyramid principles, including balancing unit, integration, and end-to-end test automation and the tools and processes to measure and improve test coverage and test impact analysis
• Demonstrated interest or experience in AI-assisted code generation & prompt engineering using LLMs
• Passion for system design, scalability, and thoughtful failure investigation

Desirable

• We’re looking for experienced Software Engineers to help us scale our test infrastructure supporting a modern, AI-powered web and mobile platform that reaches millions of users globally
• On this team, you might architect and evolve robust frontend, backend, services or mobile testing infrastructure
• Contribute to unit, integration, end-to-end, API, performance, load, and scale testing frameworks across a hybrid monolith and micro-services architecture
• Focus on AI-assisted testing solutions, test isolation, prioritization and quarantining strategies, test data generation, CI quality metrics, test impact analysis and flake detection and elimination. We strive to maximize reliability while maintaining velocity
• Design, build, and maintain automation frameworks across unit, integration, API, and UI using modern tooling like Jest, Locust, Detox (iOS & Android) and Playwright
• Implement containerized, reproducible test environments using Docker and CI/CD pipelines to support local and large-scale execution
• Contribute to integration testing strategies for inter-service validation and shared dependencies
• Architect load, scale, and performance testing verify system resilience under production-like conditions for our critical user journeys
• Build data-generation pipelines to create realistic workloads and performance test scenarios
• Evaluate and implement AI-driven tools for automated test generation and maintenance
• Integrate self-healing, intelligent failure analysis, and test recommendations into CI pipelines
• Partner with engineers to shift testing left, define quality gates, and improve build-check effectiveness
• Champion best practices around test strategy, observability, and release readiness
• Mentor teammates in test architecture and automation patterns