Top Remote Python Jobs

Responsible for designing and implementing new features, owning architecture, testing and documentation, and improving team culture in a fast-paced environment.

As a Senior Software Engineer, you'll design and implement full-stack features, develop AI-driven workflows, and ensure code quality for a dental billing platform while collaborating with users to address their needs.

As a Solutions Engineer at Speckle, you'll lead pre-sales technical engagements, assist in customer data strategy, and improve workflows in the AEC industry.

Join ModernFi as a Software Engineer to design and maintain backend systems, contribute to engineering projects, and enhance financial products.

Lead end-to-end customer rollouts of an AI-native planning platform: build and maintain data integrations, create performant financial models, develop AI-driven automated test harnesses, resolve data and performance issues, ship product fixes, and partner with finance stakeholders to operationalize solutions and feed product improvements back into engineering.

Lead full‑stack technical design and delivery: architect and build front-end and back-end systems (UI/UX, application logic, data layer), design relational schemas, implement with Angular/TypeScript, Java, Node.js and AWS services, leverage AI-assisted development responsibly, ensure security/quality (OWASP), mentor peers, and own handoff and continuous improvement.

Douro Labs is inviting exceptional candidates to define their roles in the evolving Web3 and DeFi ecosystem. Ideal applicants should have a strong understanding of data infrastructure and a track record in shipping products or open-source contributions. They should be proactive, high-agency individuals ready to navigate a remote global team.

Lead a small team as a Staff Engineer Tech Lead, contributing to technical direction and managing engineers to deliver scalable software systems.

Design and develop web applications, mentor teammates, shape architectural decisions, write clean code, conduct testing, and troubleshoot issues.

The role involves leading the architecture and solution ownership for NSAW implementations, data engineering, SQL transformations, and analytics delivery, ensuring data integrity and executive-level reporting.