Top QA Engineer Jobs

As a Software Developer, you will design and implement large-scale software solutions, build and integrate applications using C++, and work with cross-functional teams to develop effective technical solutions. Responsibilities include practicing disciplined software engineering, automation, and ensuring software performance and stability.

The Senior Manager of Software Engineering will lead a team of engineers to develop scalable web services and APIs for baseball data products, while collaborating with cross-functional teams on technical initiatives and implementing agile processes.

The VP of Engineering will lead Tatari's engineering teams, driving strategic initiatives, optimizing operations, and fostering cross-functional collaboration. Responsibilities include managing project execution, resource allocation, and performance metrics while supporting team growth and career development.

Seeking a Software Engineer to develop and sustain a cloud-based platform for cyber operations in the Department of Defense. Responsibilities include coordinating work across legacy platforms, enhancing applications and services, and modernizing capabilities. Must have 5+ years of experience, knowledge of ICD 503 and RMF, and be a US Citizen eligible for Top Secret clearance.

The Graduate Leadership Program at PMG focuses on developing skills in AI and software engineering, offering hands-on experience in building software solutions and scaling systems in a digital marketing context, while providing immersive training and collaboration opportunities.

Daxko is seeking a Senior Software Engineer with experience in .NET, SQL, and AWS to work on building a secure payment gateway. This role involves delivering high-quality code, collaborating with the team, and owning products end-to-end.

As a Senior Software Engineer on the AI team at Couchbase, you will design and implement innovative database and AI features and tools. You will tackle challenges in developing distributed databases, focusing on OLTP and OLAP needs, while employing AI/ML technologies. The role requires collaboration with peers, research in leading-edge algorithms, and delivering high-quality software through rigorous testing.