Top Entry Level Linux Jobs in Spokane, WA

The Software Engineer will maintain and enhance developer workflows, collaborate with engineering teams to improve CI systems using AWS and Buildkite, develop automation tools, design monitoring services, and contribute to migrating the build system to Bazel.

The Customer Solutions Software Engineer develops and deploys data solutions, collaborates with teams to integrate data pipelines and optimize robot configurations, handles software releases, conducts data audits, and contributes to neural network training for improved performance.

As an Enterprise Services Engineer, you will provide technical support for IT systems, collaborate with teams on IT projects, monitor system performance, and assist with user training. Proficiency in troubleshooting IT infrastructure, and knowledge of cloud-based services and operating systems like Windows and Linux are essential.

The DevOps Engineer will manage and optimize infrastructure and application lifecycles using automation tools and methodologies like IaC, CI/CD, and GitOps. This role includes implementing cloud services, ensuring security, monitoring performance, and troubleshooting issues. The engineer will work closely with development teams and mentor peers while maintaining thorough documentation.

As a DevOps Engineer at FLASH, you will enhance and manage our Linux infrastructure, develop scalable APIs, and work on transaction processing and high-availability systems. You will troubleshoot technology issues, optimize performance across embedded software stacks, and automate processes to improve system scalability. Collaboration with various teams is essential.

As an SDET Contractor, you will design and implement software for testing the PlayStation C++ compiler toolchain, work on new features, and improve automation tools. Your responsibilities include data analysis and ensuring the testing effectiveness of PlayStation SDK technologies in collaboration with other engineers.

The DL Communications Collectives SW Engineer will design and implement optimized communication libraries for distributed systems used in deep learning. Responsibilities include working with GPUs, optimizing low-latency communication, collaborating with hardware teams, and validating library performance. The role demands strong problem-solving skills and a collaborative mindset in a fast-paced environment.