Top Remote Python Jobs

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Leads Salesforce administration, development, integrations, and multi-cloud roadmap delivery. Builds custom applications and Agentforce solutions, manages data hygiene and security, tracks platform KPIs, and oversees releases and deployments. Translates business requirements into scalable Salesforce solutions, leads multiple technical projects, identifies design risks, improves processes, and supports users. Requires advanced expertise in Apex, LWC, SOQL, AI, data modeling, Salesforce integrations, release management, Agile practices, and executive communication.

Own end-to-end development of AI product demos, including React and TypeScript interfaces, streaming chat and agent workspaces, backend-for-frontend services, database schemas, deployment, observability, and on-call. Partner on app-builder tooling, design systems, agent-facing CLI and deployment experiences, accessibility, localization, audit trails, and enterprise readiness. Debug across backend and Kubernetes infrastructure while delivering reliable, AI-native product experiences.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Own and scale React Native mobile applications across multiple custom-branded client apps. Manage features end to end, including requirements, architecture, development, testing, release pipelines, App Store and Google Play submissions, production support, and rollbacks. Debug React Native and native platform issues, contribute to system design and code quality, and collaborate with leadership, clients, and engineering teammates. Help consolidate legacy systems and advance service-based architecture.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Develop and support full-stack web systems, SharePoint intranets, and Power Platform applications integrated with Microsoft 365 services. Build Canvas Apps, SPFx components, workflows, REST API integrations, and CI/CD pipelines. Ensure secure coding, accessibility compliance, testing, documentation, change management, and Agile-DevSecOps practices. Collaborate with federal stakeholders and security personnel in a high-visibility NIH environment while supporting enterprise data integrations and user requests.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.