The Automation Engineer designs, maintains automated tests, mentors teams in best practices, integrates tests into workflows, and collaborates with stakeholders.
As an Automation Engineer, you will play a critical role in designing and maintaining our automated tests and testing infrastructure. A strong leader and technical expert, you will be the driving force behind integrating automated tests into our development workflow and mentoring the team in automation best practices. You will collaborate with stakeholders to ensure that tests can be written efficiently, run consistently, and reported accurately. You understand both how to build software systems the “best way” and when to make trade-offs.
We want people who:
- Have strong proficiency in at least one scripting language (JavaScript, Python, etc)
- Consider not just the problem at hand but how their work might scale in the coming weeks, months, and years
- Understand what technological and cultural components are needed to roll out automation across an engineering organization
- Have proven experience managing large automated test suites and ensuring they provide a clean signal
- Are driven to resolve root issues rather than re-running tests and hoping for the best
We really want people who have:
- Proven experience integrating automated tests with CI/CD pipelines
- Strong leadership and mentorship skills, with experience fostering collaboration in cross-functional teams
- Successfully built automation for desktop application performance analysis
Our Best Candidates will have:
- Experience with Renewed Vision products, live event production, or video/graphics/sports production
- Expertise in turning test results into insightful and actionable dashboards with tools like Splunk or Tableau
Similar Jobs
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Design, build, and maintain scalable test automation frameworks and QA tooling using Playwright, C#, and JavaScript/TypeScript. Integrate tests into CI/CD, develop end-to-end, integration, and performance tests, apply AI-assisted techniques for test generation and defect detection, troubleshoot system issues, mentor QA peers, and drive automation standards and test strategy across engineering teams.
Top Skills:
.NetAi/MlAngularAsp.NetAzureC#Ci/CdJavaScriptLoad TestingPerformance TestingPlaywrightSQLTypescript
Biotech
Lead Automation Engineer for MES and digital systems designing, implementing, validating, and supporting MES/DCS/PLC/SCADA architectures for GMP biologics/pharma facilities. Author URS/FRS/DS, lead validation (FAT/SAT/IQ/OQ/PQ) to GAMP5 and 21 CFR Part 11, integrate ERP/LIMS/CMMS, support commissioning, investigations, and client-facing delivery.
Top Skills:
21 Cfr Part 11BioreactorsChromatographyCip/SipCmmsData RepositoriesDcsEbrElogbooksErpFatFill-FinishGamp 5HistoriansIq/Oq/PqIsa-88Isa-95LimsMaster DataMesOem Skid IntegrationPlcSatScadaSerialization
Pharmaceutical
Lead test strategy and automation across products, build and maintain automated API and UI tests, improve test frameworks and CI/CD, author test plans, report defects, and champion quality across teams.
Top Skills:
CircleCIClaudeCopilotCypressGithub ActionsJavaJavaScriptJenkinsPage Object ModelPlaywrightPlaywright McpPytestPythonRest AssuredSeleniumTypescript
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
