Top Remote Entry Level Linux Jobs

Site Reliability Engineer role at CrowdStrike's Detonations and Threat Analysis team. Responsibilities include automating deployment, monitoring stability, performing root-cause analysis, improving performance, and collaborating with cross-functional teams.

As a Sr. Engineer, Virtual Applications Delivery at Warner Bros. Discovery, you will be responsible for architecting, designing, installing, configuring, and maintaining virtual desktop platforms. Your role includes supporting various business stakeholders and workloads across global locations. You will need a unique blend of business and technical acumen to succeed in this role.

The Software Engineer role at Cloudflare involves building and maintaining large-scale networking systems, particularly focusing on software for dedicated hardware and custom network devices. Candidates will work on Linux networking, develop APIs, integrate with other teams, and handle complex customer problems.

Research Engineers at Chainlink Labs will work on decentralized oracle technologies by solving key research challenges. They will collaborate with domain experts, study and build cutting-edge technologies, and guide research towards impactful applications.

The Software Engineer on the Developer Platform team at Glydways will maintain and enhance developer workflows, collaborate on improvements to the CI system, develop automation tools, design monitoring services, and assist in migrating the build system to Bazel.

RocketReach is seeking a Senior Backend Engineer to join their Core Data team and work on critical customer-facing product features. Responsibilities include building data pipelines for machine learning models, designing algorithms to work at scale, and maintaining the data platform. The salary range for this role is $170,000 - $200,000 per year.

The Data Pipeline Solutions Engineer develops and deploys data solutions for customers, ensuring optimal performance of data pipelines. Responsibilities include customer development, troubleshooting pipeline issues, managing software testing processes, ensuring data quality, training neural networks, and improving deployment tooling.