Top Senior Level Golang Jobs in Boise, ID

As a Senior Golang Engineer at Offchain Labs, you will contribute to blockchain innovations, focusing on Ethereum development and enhancing product efficiency. Your role involves problem-solving, collaboration, and proactive experimentation in a team dedicated to decentralized technology.

As a Senior DevOps Engineer at Moveworks, you will architect and manage cloud infrastructure while collaborating with various teams to ensure reliable deployment and operation of applications. You will design CI/CD pipelines, manage Kubernetes clusters, and enhance observability and security for the infrastructure.

The Software Architect will oversee the technical development of features for a data privacy application, collaborating with engineers, product managers, and UX designers. Responsibilities include crafting production-quality code, leading design discussions, conducting code reviews, and creating automated unit tests, alongside troubleshooting customer issues.

Responsible for developing multiple microservices for a SaaS security solution and leading projects within Comcast Technology Solutions.

Looking for a talented Senior Backend Engineer with experience in designing and building distributed backend systems. Responsibilities include writing efficient code, optimizing existing infrastructure, and making architectural decisions. Must have knowledge of Golang, Docker, Kubernetes, various databases, monitoring tools, and AWS. Experience in Blockchain systems and a fast-paced startup environment is desired.

The Senior Software Engineer will support the backend development of Cylinder's digestive platform, collaborating closely with the Data Science team. Responsibilities include building cloud native systems, integrating external data, and ensuring high standards in documentation, test coverage, and logging while working in a fast-paced environment. This is an opportunity to shape the future of health tech with innovative solutions.

The Staff MLOps Engineer will develop and support a real-time data platform for the Department of Defense, deploying machine learning infrastructure and building MLOps pipelines, while managing production clusters and ensuring compliance.