Top QA Jobs in Tampa Bay, FL

The Android Engineer will contribute to enhancing the Signal app, focusing on user privacy and code quality. Responsibilities include architecting new features, multitasking, and collaborating closely with a small team. Strong knowledge of Kotlin and Java, along with significant experience in the Android framework, is essential.

The Senior Design Engineer is responsible for compliance with HSE policies, engineering and testing electrical systems, interfacing with vendors, and developing project documentation. They design electrical schematics, program PLCs, troubleshoot SCADA systems, and manage projects while ensuring effective communication with stakeholders.

As a Back-End Developer at Gozem, you'll handle server-side logic, data exchange management, and database maintenance while ensuring high performance for user requests. You'll develop clean code, troubleshoot bugs, and integrate front-end elements. Collaboration with global teams and providing training to internal teams are key responsibilities.

Design, develop and maintain innovative products for on-prem and SaaS offerings, collaborate with cross-functional teams, implement product features, lead test-driven development, and participate in Agile processes.

As a Senior Software Engineer at Expanso, you will lead the development of Bacalhau, focusing on performance, reliability, and scalability while collaborating with a cross-functional team. You will ensure coding excellence, troubleshoot issues, and iterate based on community feedback in a dynamic, innovative environment.

The Collibra Architect Consultant will design and implement data governance and metadata management solutions using Collibra. They will assess data environments, develop strategies, translate requirements into designs, oversee implementations, and deliver training and documentation.

Omada Health is seeking a Senior AI Engineer to lead the deployment of AI models and applications using state-of-the-art tools and platforms. The role involves designing, deploying, and managing end-to-end AI solutions with a focus on Generative AI and LLMs, monitoring model performance post-deployment, and collaborating with stakeholders to meet business needs. Candidate must have 5+ years of experience in AI deployment with proven business impact.