Top Remote Senior Level Software Engineer Jobs

The Senior Manager, Engineering - AI Agents leads engineering for AI Agent software development, managing a team to implement scalable, production-ready systems that enhance customer experience through automation.

As a Senior Software Engineer, you will design and optimize scalable cloud-native systems, code in Python, and collaborate with cross-functional teams to enhance healthcare data processing and outcomes.

The Lead Data Engineer will architect and develop a healthcare data platform on GCP, guiding teams in pipeline development, data modeling, and ensuring compliance with HIPAA. They will collaborate across functions, set technical directions, and mentor junior engineers.

The Founding Senior Engineer (Full Stack) will build features, drive projects from discovery to deployment, and integrate AI capabilities in client projects.

The Senior Full-Stack Developer will create software solutions jointly with clients, ensuring high-quality code and effective collaboration with the team.

The role involves developing and deploying full-stack solutions using React and Next.js, ensuring high product quality with full ownership and accountability.

The Principal Technology Engineer provides technical support for VFX artists, manages infrastructure, mentors junior engineers, and ensures operational standards in the VFX industry.

As a Forward Deployed Engineer, you'll design and implement AI-powered workflows, integrate with enterprise systems, and directly collaborate with customers to improve acquisition processes.

Own and ship full-stack features across internal and customer-facing products. Design, build, deploy, and monitor production-grade code. Influence architecture, mentor peers, collaborate with product/design, and use AI coding tools to improve engineering velocity and reliability.

Design, develop, and maintain enterprise M365 Copilot agents using Copilot Studio. Translate business requirements into secure technical designs, implement API integrations and A2A orchestration, apply software engineering best practices, conduct testing, and collaborate with governance and stakeholders to deliver production-grade AI solutions.