Top Remote Golang Jobs in Raleigh, NC

Lead and manage a dynamic development team, drive technical direction for full stack projects, ensure timely delivery, and foster a culture of continuous improvement. Collaborate with stakeholders to define requirements and architect scalable software solutions using React, Python, Golang, and AWS.

As a Site Reliability Engineer, you will maintain high availability of production environments, automate deployment processes, and set up monitoring systems. You will work on cloud architecture in GCP, AWS, and Azure, and build and maintain distributed systems while ensuring security and compliance.

Seeking a Web3 Solutions Architect with 4-8 years of experience in technical and customer engineering. Responsibilities include client engagement, technical presentations, proposal development, project coordination, research, and documentation. Must have a good understanding of the Web3 industry.

The Lead Cloud Engineer will lead projects, collaborate with teams, and enhance operational standards for Cars Commerce's cloud platform. Responsibilities include designing and maintaining systems, implementing infrastructure-as-code using tools like Terraform, and scaling production systems, particularly on AWS. A focus on team leadership and delivering value to customers is essential.

As a Full Stack Engineer at SentiLink, you will develop and maintain web applications for fraud analysis, collaborating across teams to enhance products. Responsibilities include coding, testing, building APIs, and troubleshooting issues while ensuring quality standards.

As a Platform Engineering Manager at Hypixel Studios, you will lead a team of engineers to develop and maintain backend services for the game Hytale. Your role includes mentoring team members, collaborating with Product Owners, and overseeing the architecture and implementation of technical solutions while ensuring code quality and system reliability.

The Lead Engineer, Data Platform will build and enhance the data platform and tools for data engineers and scientists, providing mentorship, collaborating with various teams, and participating in hiring efforts. The role emphasizes the use of technologies such as Python, SQL, and various cloud services in high-volume environments.