QA Automation Lead

Umbrella is a leading Cloud Cost Optimization platform helping large enterprises and third-party cloud providers eliminate waste, forecast spend, and gain full visibility into cloud costs. Our platform handles massive volumes of data in real time, serving global customers with complex infrastructures across AWS, Azure, and GCP.

We’re building the future of FinOps — and looking for someone who’s excited to own quality from the ground up.

About The Role

We’re looking for a hands-on, forward-thinking QA Automation Lead to join our core development group. This is a unique opportunity to shape Anodot’s testing strategy and quality processes from the ground up, in a high-scale, data-driven cloud environment.

This Is a Hybrid Role

• 60–70% hands-on testing and automation development
• 30–40% ownership of QA strategy, tooling, and methodology
  
  

• Design and implement scalable testing strategies across web, backend, and data pipelines
• Build and maintain robust automation frameworks and reusable test components
• Write and execute both automated and manual tests for APIs, backend services, and UI flows
• Investigate complex issues across distributed systems, analyzing logs, data, and environments
• Query and analyze data across various systems and databases
• Drive measurable improvements in test coverage, execution time, and release quality
• Collaborate with cross-functional teams to ensure seamless and timely delivery
• Participate in technical discussions, release planning, and (when relevant) code reviews
• Introduce new testing methodologies, tools, and frameworks — including exploring AI-powered QA solutions
• Serve as a mentor and knowledge source as the QA function evolves and grows
  
  

• 4+ years of hands-on testing experience across web, backend, and APIs
• 2+ years working with modern automation tools (Testim.io, Playwright, Cypress, or similar)
• Strong technical skills working with databases, browser DevTools, and debugging logs
• Experience designing end-to-end tests for large-scale, data-driven SaaS systems
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Deep understanding of QA methodologies, test strategy, and best practices
• Analytical thinking, solid prioritization, and strong problem-solving skills
• Excellent collaboration and communication abilities
• A proactive, product-oriented mindset: you care about what users experience and how to make it better
  
  

• Knowledge of billing systems, FinOps, or cloud cost management
• Experience with Airflow or similar workflow orchestration tools
• Experience building QA in early-stage or scaling tech environments
• Interest or hands-on experience applying AI tools to accelerate or improve QA processes