QA Engineer
3 Months ago
San Francisco, California, United States
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Job Description
Pano AI is seeking a QA Engineer to enhance quality initiatives and build validation pipelines for their wildfire detection technology. The role involves analyzing requirements, developing test plans, executing tests, and collaborating with product managers and developers. Ideal candidates should have experience in various testing methodologies and programming languages like JavaScript and TypeScript. Pano AI offers a hybrid work environment, allowing team members to work remotely.
Who we are
The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, dryer fuels, and faster winds—new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond—preventing small flare-ups from becoming devastating infernos.
About Pano: Pano is a venture-backed early-stage climate tech startup that is the leader in wildfire early detection, leveraging the latest advancements in IoT, AI, satellites, and SaaS software to deliver actionable intelligence to customers. Pano leverages mountaintop cameras and satellites to detect the first traces of smoke and put real-time fire images in the hands of asset owners and first responders to speed up containment. Pano is proud to partner with leading utilities, fire authorities, and government agencies across the USA, Canada, and Australia. Recent media features include CNBC and Reuters , along with recognition as one of the " Top 15 Climate Tech Companies to Watch " by MIT Technology Review and one of the " 10 Most Innovative Companies in AI " by Fast Company. Additionally, through our partnership with T-Mobile, we received the prestigious "Innovative Mobile Service and Application Award" at Mobile World Congress .
Pano brings together a diverse team bridging frontline, wildland firefighting experience with best-in-class know-how in operations, logistics, artificial intelligence, and software. Our team is composed of experienced technology professionals from companies such as Apple, Cisco, Nest, DoorDash and Meta. Headquartered in San Francisco with an office and factory in the Mission District, our hybrid team works from locations around the world. Founded in mid-2020, we’ve raised over $45M from leading VC funds.
The Role
For the QA Engineer role, we’re looking for somebody who will drive quality initiatives in unlocking new end-to-end capabilities for our users while building scalable and maintainable validation pipelines. At Pano, team members take ownership of what they do, and our approach to problem-solving relies heavily upon creativity, communication, and collaboration. The ideal candidate is humble, hungry, and people-smart. They have experience working across the entire testing stack and a firm understanding of testing methodologies, UI testing, API testing, performance testing, automation, databases, and programming languages - including JavaScript and TypeScript.
What You’ll Do
• Work with your teammates across the entire stack, validating new features that enable positive impact for our users and our business
• Analyze requirements, develop test plans, create test cases, automate and execute tests
• Identify defects and create and track bug reports
• Collaborate with product managers and developers
• Execute manual or exploratory testing when needed
• Implement, maintain, and run automation test suites - based on Cypress for API, UI testing, visual, and accessibility testing; and k6 for performance testing
• Collaborate with other QA engineers to review their automation scripts
• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities
• Participate in on-call rotation to respond to, triage, mitigate, and resolve production issues
What You’ll Bring
• 5+ years of hands-on experience as a QA Engineer
• 3+ years of professional experience in a fast-paced SaaS or a similar business environment
• Expertise in creating and executing test plans, test cases, and QA processes for API and UI testing
• Experience with automation testing frameworks, including Cypress, and knowledge of visual and accessibility testing
• Familiarity with performance testing tools, such as k6Proficiency in JavaScript/TypeScript for writing and maintaining automation scripts
• Experience with issue-tracking systems, such as Jira
• Familiarity with test-management systems, such as TestRail
• Knowledge of SQL
• Proven ability to troubleshoot and resolve complex issues during testing
Preferred Skills
• Hands-on experience with cloud platforms, such as GCP and AWS
• Familiarity working with Linux-based systems as well as containerization and orchestration tools, such as Docker and Kubernetes
• Familiarity with common DevOps tools and practices, such as Git and CI/CD
• Familiarity with Python and Java
• Familiarity with SOC2 / ISO 27001 security frameworks
$162,000 - $179,000 a year
(AUD) Final salary offered is based upon multiple factors, including individual job-related qualifications, education, experience, knowledge, skills and location.
Pano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Pano AI
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About this company
Founders:Sonia Kastner
Founded date:2019
Revenue:US$ 10 - 50 million
Investors:Bossanova Investimentos, Congruent Ventures, DCVC, Kevin Mahaffey, Quiet Capital
Stage:Series A
Website:pano.ai
Pano AI (Pano) is the leader in early wildfire detection and intelligence, providing government, utilities, insurers, and private landowners with advanced tools and up-to-the-minute intelligence to quickly mitigate wildfire threats...read more
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