Top Remote Senior Level QA Engineer Jobs in Minneapolis, MN

As a Senior Rust Blockchain Engineer, you will design, implement, and optimize blockchain protocols, contribute to innovative solutions, and ensure robust scalability of the blockchain infrastructure.

The Senior Supply Chain Solution Consultant will implement and support Microsoft Dynamics 365 Finance and Supply Chain Management solutions, re-engineering client processes for efficiency and handling various functional tasks. They will also assist in pre-sales activities and establish strong client relationships, requiring expertise in Supply Chain (Trade & Logistics), procurement, and reporting features.

As a Software Engineer III, you will lead engineering practices, design solutions, develop and maintain code, troubleshoot performance issues, implement security best practices, and mentor junior engineers while collaborating across teams.

As a Senior Software Engineering Manager, you will mentor and lead a development team, ensuring alignment with company strategy and enhancing team productivity. You will collaborate with Product Management and UX to meet goals, assist in recruiting, and foster a high-performance culture.

As a Senior Network Engineer at KBRA Holdings, you will support the global enterprise network, troubleshoot network issues, and document incidents and changes. You will work with cloud technologies and maintain network infrastructure in AWS and Azure. Strong communication and automation skills are essential in this fast-paced environment.

The Senior Backend Engineer will join Backstage's web team to enhance and maintain backend systems, drive user-focused initiatives, and support creative projects in the entertainment industry. The role emphasizes collaboration, continuous improvement, and adopting advanced technology to enable diverse hiring practices.

The Senior Software Engineer will design and maintain ML infrastructures using Kubernetes, optimize ML inference with CUDA, and enhance CI/CD processes. The role involves leading model scheduling and resource allocation efforts while collaborating with teams to innovate ML deployment systems.