Top Remote Senior Level C# Jobs in Albuquerque, NM

The Senior Integration Analyst will manage the integration between healthcare systems and the Cohere platform, leading feature development and collaborating with stakeholders to ensure interoperability. Responsibilities include defining technical requirements, facilitating team collaboration, assessing project risks, and establishing performance metrics.

As a Staff Software Engineer at Gradient AI, you will develop full-stack applications integrating advanced ML models and collaborate with product and data teams to enhance user-friendly analytics solutions.

As a Senior Full Stack Engineer, you will lead technical development within eCommerce and ad-tech platforms, oversee payment system integrations, and mentor team members while ensuring system reliability and performance.

As a Senior Backend Engineer, you'll design and build partner-facing APIs, improve the Powered by Zapier platform, enhance developer tools, and collaborate with cross-functional teams to drive automation initiatives.

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

Seeking a Senior Software Engineer to design, implement, and operate scalable solutions in healthcare technology, requiring strong programming and communication skills.

As a Senior Software Engineer, you will design, build, and launch backend systems and APIs, collaborate with cross-functional teams, and improve scalability and performance of the CRM application.

The Senior Reporting & Analytics Consultant will lead reporting initiatives, develop custom analytics solutions, and support customer engagements, ensuring project success.

The Staff Software Engineer will develop solutions for cybersecurity, focusing on Identity Threat Detection. Responsibilities include system design, building data pipelines, and providing architectural direction while collaborating with a remote team.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.