Top Senior Level QA Engineer Jobs in Philadelphia, PA

The Senior Storage and Backup Engineer will configure and implement hardware in data centers and remote sites, optimize performance, and integrate with monitoring tools. Responsibilities include administration using CLI and scripts, enterprise backup configurations, disaster recovery planning, and maintaining storage and backup infrastructure. The role demands a strong understanding of storage and backup technologies and the ability to meet business requirements through technical solutions.

The Senior Network Engineering Manager will lead a global team of network engineers overseeing the design and operation of telecommunications and network environments. Responsibilities include enhancing team skills, resolving operational issues, managing costs, maintaining IT service delivery, and ensuring network infrastructure aligns with business needs.

As a Software Engineering Manager, you will lead a team of backend engineers, manage software architecture, design and develop Python applications, oversee API development, collaborate with cross-functional teams, and drive innovation while optimizing performance and processes.

As a Principal Frontend Engineer, you will manage complex systems and develop scalable React Native applications. You'll mentor the development team, lead strategic technical decisions, and ensure best practices in coding and architecture while fostering continuous improvement and collaborating with product leadership.

The Lead Software Engineer will develop applications using NextJS, ReactJS, and NodeJS while mentoring and leading a team. Responsibilities include enhancing the product, improving processes, troubleshooting technical issues, and engaging in team collaboration.

The Senior Manager, QA Audit GCP/GLP/GVP is responsible for implementing quality initiatives in support of compliance in Clinical Development Programs, managing audits, developing SOPs, and providing training across the organization.

As the Principal AI Engineer, you will lead the team in designing and implementing AI solutions for mental healthcare, focusing on LLM workflows, advanced prompt engineering, and AI infrastructure optimization. You will collaborate with cross-functional teams and mentor junior engineers to create innovative AI/ML applications that improve mental health outcomes.