Similar Jobs
Artificial Intelligence • Machine Learning
The Senior Quality Engineer will enhance the automation framework, improve automated coverage, drive quality in compliance-critical software, and establish testing pipelines while collaborating with multiple teams.
Top Skills:
AWSAzureGCPGoKubernetesMlflowScala
Information Technology • Software
The Sr. Quality Assurance Automation Engineer creates and executes automated tests and maintains regression suites for multiple products, ensuring high-quality releases.
Top Skills:
Api TestingAzure DevopsC#MySQLReadyapiRestSeleniumSoapSoapuiSQLSQL Server
HR Tech • Productivity • Software
The QA Automation Engineer will lead quality assurance efforts, including manual and automated testing, mentoring others, and ensuring product quality throughout development cycles.
Top Skills:
Ai-Driven ToolsCi/CdCypressGitJavaScriptJIRASelenium
We are seeking a talented, automation-first QA Engineer who is passionate about quality in software products and building products that matter. Our tools give users the ability to explore and analyze complex geospatial and temporal datasets through innovative, non-traditional interfaces — interactive maps, vessel tracking dashboards, analytical tools, and a growing public API platform.
Automation is the core of this position, but it might include some minor manual testing.
The ideal candidate brings deep hands-on experience building robust, maintainable automated test suites for both front-end applications and APIs — and can demonstrate a track record of successfully integrating those suites into CI/CD pipelines.
You will work closely with the product team during story definition and with the engineering team throughout implementation. Your work will directly improve the reliability and confidence of our releases.
Products You Will Test
- You will work across the following products and platforms:
- Interactive maps showing vessel tracks, fishing activity heatmaps, encounters on the high seas, port visits, and carrier vessel activity — rendered through time using our latest map platform;
- Vessel identity and carrier vessel tracking features, including new layers and datasets added to the core map over the past several years;
- The Public/Private APIs — a major strategic expansion now providing external developers and researchers with programmatic access to datasets and services. API quality, reliability, and contract testing are a core responsibility of this role.
- Tools for users to upload, display, and analyze their own datasets alongside our datasets
Our Stack
- Playwright and Vitest (primary E2E and integration automation framework — required)
- Cypress (used on select products — experience is a plus)
- Selenium (legacy; knowledge helpful but not the focus)
- Jest and axios
- Modern JavaScript / TypeScript (ES6+)
- React (hooks) and Redux
- Mapping and dataviz: Deck.gl, D3, turf
- CSS3, CSS Modules
- Node.js (Nest and Koa), Go, Python, PostgreSQL, Clickhouse
- Google Cloud Platform (GCP)
- Docker
- CI/CD: Google Cloud Build
- Git and GitHub
- Postman
Front-end
Backend & Infrastructure
Tooling & Collaboration
Principal Duties and Responsibilities
- Design, build, and maintain automated test suites for our front-end products and public API — this is the primary and non-negotiable function of this role:
- Lead end-to-end test automation using Playwright, covering functional, regression, cross-browser, and performance scenarios;
- Own API test automation: write and maintain contract tests, functional tests, and integration tests for GFW's public and internal APIs;
- Integrate automated test suites into CI/CD pipelines (Cloudbuild), ensuring tests run reliably on every relevant trigger;
- Design and document test cases for user stories; validate acceptance criteria with the product team before implementation begins;
- Define and maintain test suite organization — smoke, regression, and full suites — and determine which cases warrant automation vs. manual execution;
- Run and maintain regression suites when new features are released or underlying data versions change;
- Conduct periodic regression runs on production environments;
- Work closely with the product team during user story definition to ensure testability and clear acceptance criteria from the start; Creating a test plan for every release;
- Report bugs clearly in the issue tracking system and follow up until resolution working closedy with product to understand impact of the bug and define priority;
- Define, record, and report on QA metrics to assess coverage, test reliability, and areas of product risk;
- Advance overall QA strategy, tooling, and infrastructure over time.
Required Technical Skills
- Automation is the core of this role. Candidates who cannot demonstrate hands-on automation experience will not be considered.
- 5+ years of hands-on experience building and maintaining automated test suites for production web applications — please be prepared to discuss specific projects and outcomes;
- Proven, recent experience with Playwright for end-to-end browser automation (required);
- Solid experience with API test automation: writing contract tests, functional API tests, and integration tests;
- Experience working in Agile teams with sprint-based delivery;
- Experience with CI/CD integration of automated tests (GitHub Actions or equivalent);
- Experience with performance and cross-browser testing;
- Experience with test plan and test case development, including defining what to automate vs. test manually;
- Willing to comb through a complex network of interdependent tools, resources, user roles, and permissions;
- Detail-oriented, with a mindset geared toward finding edge cases and breaking things.
- Experience with Cypress in addition to Playwright;
- Experience testing non-traditional, data-heavy applications using maps, charts, heatmaps, or other data visualizations;
- Strong proficiency with Git and modern branching strategies;
- Familiarity with Docker and containerized test environments;
- Experience with cloud platforms, particularly Google Cloud Platform;
- Open-source collaboration experience.
- •Strong written and verbal communication in English — most day-to-day collaboration is async and written. Having also good verbal Spanish is a plus;
- Comfortable working remotely and independently in a small, fast-moving organization;
- Proactive and highly organized — owns tasks end-to-end without needing to be chased;
- Team player who is willing to teach and learn across disciplines;
- Intellectually curious and open to suggesting and evaluating new tools, approaches, or strategies;
- Flexible and able to adapt to shifting priorities and evolving requirements;
- Able to communicate clearly with a wide range of stakeholders — from engineers to product managers to senior leadership;
- Comfortable managing multiple ongoing tasks, sharing estimations, raising risks and meeting deadlines.
Preferred Technical Skills
Communication & Collaboration Skills
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



