Top Remote C++ Jobs in Atlanta, GA

The Engineer III - Backend Automation & Development will focus on creating and refining tools for automating the deployment and management of CrowdStrike's cloud infrastructure. Responsibilities include collaborating with teams to implement software designs, optimizing backend performance, and ensuring code quality. The role requires experience in a large-scale production environment and expertise in Go for automation tasks.

The Site Reliability Engineer - Embedded will maintain facility and robot availability in production environments, supporting AMP's observability stack and troubleshooting various technical issues related to operating systems and hardware. Responsibilities include responding to tickets, documenting processes, and developing monitoring and alerting systems, specifically using Prometheus, Grafana, C++, and Rust.

The Software Engineer will work on the Zero Trust desktop client, focusing on developing high-performance networking code. Key responsibilities include improving code quality, building testable foundations, and collaborating with product managers to implement features while considering security and performance requirements.

As a Software Engineer at CertifID, you will develop and maintain high-quality software across the stack, collaborate with multiple teams to deliver effective solutions, and engage in code reviews while fostering a productive work culture. You will troubleshoot issues, learn new technologies, and shape the development process in a dynamic environment.

The role involves developing firmware for automotive systems, focusing on vehicle diagnostics and connectivity. You will collaborate with cross-functional teams to prototype new technologies and improve existing products, while managing multiple projects and taking ownership of outcomes.

As a CCaaS Application Architect, you will design complex Contact Center applications, manage implementation teams, and address digital transformation goals for enterprise clients. Responsibilities include defining architectures using CXone, Genesys Cloud or Amazon Connect, leading code reviews, and ensuring solutions meet quality standards while addressing technical challenges such as API integrations and system limitations.

Lead the design, implementation, and optimization of computer vision algorithms, develop deep learning models, collaborate with teams, mentor junior engineers, drive machine learning lifecycle, troubleshoot and optimize AI systems, document research findings.