Top Remote QA Engineer Jobs in Philadelphia, PA

As a Prisma Cloud Solutions Architect, you will build influential relationships with key technical decision makers, educate clients on security trends, create technical proof of concepts, and be the technical voice of sales related to cloud security compliance.

As a Founding Engineer at Oowlish, you will collaborate on innovative AI-driven solutions, utilizing tools for web automation and voice-driven communication technology, while contributing to client projects from the US and Europe.

The Senior DevOps Engineer will plan, design, and deploy cloud technologies, manage AWS components, enhance system availability through incident management, and improve monitoring capabilities. This role involves collaborating with product teams, creating training processes for cloud administration, and participating in on-call rotations, with a focus on automation and operational efficiency.

As a Senior QA Engineer for Veeva's Data Platform, you'll lead the development of the QA framework and oversee end-to-end quality assurance. Your responsibilities will include creating test cases for ETL applications, automating tests, analyzing data accuracy and completeness, and ensuring compliance with business rules while collaborating in an Agile environment.

As a Front End Software Engineer at Wodify, you'll develop mobile and web interfaces for fitness management software, integrate React solutions in a low-code environment, and collaborate in agile activities. You will also mentor junior engineers, troubleshoot issues, and guide the team in software architecture and design principles.

The Tech Lead will oversee the development of advanced data modeling and attribution strategies to meet client objectives, supervising a team of Data Analysts, refining project delivery methodologies, and guiding clients for project success through technical expertise.

As a Software Engineer at Oncora, you'll develop and maintain a data platform integrating messy data sources for oncology, optimize data infrastructure, and support clinical decision-making through data analysis and machine learning. You'll work closely with a small team to enhance data capabilities and manage pipeline deployments.