Top Remote Entry Level Linux Jobs in Rochester, NY

As a Backend Game Developer, you will design and implement scalable game backend services, write efficient code for high-availability services, and collaborate with teams to enhance gameplay experiences.

The Site Reliability Engineer at Offchain Labs will focus on the development and improvement of blockchain technology, specifically working with Kubernetes, AWS, and CI/CD pipelines, alongside ensuring security and high-performance networking. The role encourages innovation, problem-solving, and collaboration in a decentralized tech environment.

As a Software Engineer at Orderly Network, you will develop core functions for a digital asset trading platform, implement API interfaces, and ensure the reliability of the trading system. You'll collaborate with product and business development teams and solve challenges in a fast-paced environment.

As a Software Engineer at Everlaw, you will develop and enhance features for the ediscovery platform, ensuring functionality and reliability while integrating various technologies. Your role involves tackling complex engineering challenges in a supportive environment that fosters learning and growth, allowing you to take ownership of significant features.

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.