Top Senior Level Linux Jobs in Wilmington, NC

As a GPU Software Development Engineer, you will develop and validate software for Intel GPUs across the entire stack, including firmware, device drivers, and application layers. You'll also profile, optimize, and productize GPU software solutions, while collaborating with a cross-functional team.

The Senior Solutions Architect at Imply will guide customers in the architecture and operations of their database product, facilitate successful implementations, engage with a variety of teams, and help identify new use cases for client solutions.

As a Senior Software Engineer at Cribl, you will design and implement key features for Cribl Lake, collaborate with cross-functional teams, and ensure the codebase's long-term health. You will focus on scalability, performance, and maintainability while optimizing backend services on cloud platforms, particularly AWS.

The Principal Software Engineer role involves deploying, automating, maintaining, and troubleshooting software systems, as well as architecting solutions and collaborating with teams in an agile environment. Responsibilities include the full software development lifecycle from requirements gathering to testing and release, emphasizing strong problem-solving skills and effective communication within teams.

As a Senior Site Reliability Engineer, you will design and build the infrastructure for a global cloud service, optimize performance, improve infrastructure capabilities, and participate in a weekly on-call rotation to enhance resilience against service disruptions.

The Lead DevOps Engineer will manage and support virtual infrastructure for health IT solutions, lead a team, and automate deployment processes. Responsibilities include mentoring staff, ensuring timely task completion, and handling production issues, along with a strong focus on CI/CD methodologies and system management.

The Senior Systems Software Engineer will develop and optimize video intelligence edge devices, focusing on rapid prototyping, implementing new features, and building infrastructure for AI and video processing. Responsibilities include setting benchmarks, analyzing performance, and ensuring system resilience and scalability as the company grows.