Top Remote Software Engineer Jobs in Atlanta, GA

The Senior Product Engineer will design and build AI-driven, full-stack financial workflows, oversee architecture, and mentor engineers while ensuring high-quality, reliable systems.

The Staff Engineer, RCM will lead technical efforts in eligibility, claims, billing, and payer integrations, aiming to enhance software performance and operational outcomes.

Design, develop, and maintain software solutions. Collaborate with teams, conduct code reviews, and mentor junior developers to ensure software quality.

The Ruby Engineer will focus on web scraping and browser automation, fix code issues promptly, support customers, and enhance search engine integrations.

The Playable Ad Developer will create and optimize interactive HTML5 ads, collaborate with creative teams, and ensure high performance for social gaming brands.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

Serve as technical leader and solution architect for Salesforce marketing platforms. Design end-to-end architectures, own implementation and integrations, enable stakeholders with documentation and training, enforce governance and standards, and guide platform modernization including Data Cloud and Marketing Cloud Next adoption.

The Forward Deployed Engineer integrates CrewAI's products into client systems, ensuring successful implementation by understanding technical requirements and business contexts. They lead deployable solutions, conduct workshops, and monitor performance, ultimately enhancing client satisfaction and value delivery.

Lead healthcare data integration initiatives, overseeing design and maintenance of HL7 interfaces and integrations, while managing teams and projects strategically.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.