Top Remote Senior Level QA Engineer Jobs in Philadelphia, PA

The Senior Software Engineer will enhance the analysis engine of Mayhem, focusing on identifying bugs and security vulnerabilities. Responsibilities include developing features, fixing bugs, writing tests, and collaborating with support engineers. Ideal candidates have strong programming skills, knowledge of operating system concepts, and experience in vulnerability research or reverse engineering.

As a Senior Fullstack Engineer, you will architect and develop a complex, distributed system, writing clean and maintainable frontend and backend code. You are expected to conduct code reviews, implement quality assurance practices, assist team members, and continuously learn and apply new technologies.

As a Senior Android Engineer, you will create and prototype new features, improve legacy code, troubleshoot issues, and support various teams while focusing on effective and efficient coding practices.

As a Staff Software Engineer, you'll design and develop high-quality software solutions, lead architectural discussions, mentor the engineering team, and work on cloud-based projects utilizing Azure, Node.js, and React. You will evaluate and select technologies to meet business needs, ensuring scalable and secure solutions.

The Senior Full Stack Engineer will build and enhance privacy management tools using Ruby on Rails and React, work with AWS, and integrate database technologies like Postgres. Responsibilities include developing scalable systems, leading feature development, and collaborating with PMs and cross-functional teams.

As a Principal Engineer, you will lead a team to develop an Electronic Health system in React and Rails, enhancing the delivery of personalized healthcare. Your role includes setting architecture vision, establishing development best practices, contributing to projects technically, and improving the technical maturity of the team.

The Senior Software Engineer will develop data infrastructure, create interfaces for data, and build scalable cloud-based machine learning systems to process medical data. They will work with various data sources, ensuring the pipeline's efficiency and effectiveness while collaborating with remote team members.