Top Remote Python Jobs

Build and lead end-to-end web and mobile product features for a MedTech sales platform. Collaborate with customers, product managers, designers, and engineers; use data to improve performance and identify product opportunities; introduce scalable technologies; mentor engineers; and develop AI-enabled experiences using agentic tools. The role requires full-stack proficiency across modern JavaScript and Python technologies, relational databases, GraphQL, and cloud services.

Build and own backend services and APIs supporting money movement, payments, settlements, reconciliation, payroll integrations, retirement workflows, and financial compliance. Ship reliable production code, debug incidents, improve observability and operational tooling, and collaborate with product, compliance, operations, and engineering teams. Mentor engineers and ensure systems handling customer funds are correct, scalable, and well tested.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Own the architecture and technical direction of Zocdoc’s Provider Engagement Platform. Design data pipelines, real-time practice intelligence systems, APIs, and ML integrations that power personalization and recommendations. Lead complex cross-team initiatives, make infrastructure decisions, ship production code using C#, React, and AWS, and mentor engineers while promoting strong engineering, testing, and observability practices.

Build and scale the PSA Liquidity Platform connecting buyers and sellers across PSA Partner Offers and eBay Consignment. Responsibilities include developing buyer tooling, pricing and ranking engines, seller experiences, microservices, distributed event-driven systems, and observability. The role owns end-to-end product delivery, cross-functional execution, technical architecture, ecosystem integrations, and production outcomes while using AI throughout the software development lifecycle.

Build and architect scalable React Native mobile applications from scratch. Lead technical decisions involving app structure, patterns, libraries, coding standards, and architecture. Collaborate with cross-disciplinary teams, mentor engineers, conduct code reviews, plan major projects, and promote high-performance software engineering practices using Agile methodologies.

Develop and maintain iOS, Android, and web development platforms for the myQ connectivity program. Lead technical planning across scrum teams, translate product requirements into software designs, implement complex features, oversee releases, improve development processes, and enforce quality standards. The role mentors engineers, leads offshore teams, collaborates with product, architecture, DevOps, firmware, infrastructure, and QA teams, and contributes to architectural decisions, technical documentation, interviews, and continuous improvement.

Develop and maintain a password-protected .AI KPI dashboard using Identity Digital Data Warehouse data and a mutually agreed web framework. The dashboard will provide near-real-time updates, executive-level views, drill-down functionality, and metrics covering registry growth, financial performance, technical infrastructure, and security. The contractor will collaborate with technical and business stakeholders, maintain an in-person presence in Anguilla, coordinate deliverables, and provide emergency support when required.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.