Top Remote Python Jobs

Develop and scale backend infrastructure for an AI-native cybersecurity platform. Responsibilities include designing software applications, writing clean and documented code, delivering and testing features, troubleshooting and debugging issues, reviewing peer code, and maintaining technical documentation. The role supports systems that monitor large volumes of digital entities and detect social engineering threats such as phishing, impersonation, and fraud.

Build and deliver AI-powered healthcare products using React, Node.js, Python, and modern full-stack technologies. Partner with customers, designers, researchers, and product teams to understand workflow needs, design intuitive AI experiences, and own features from ideation through deployment, optimization, and scaling. The role requires strong product instincts, end-to-end software engineering ownership, and experience building production-grade applications.

Design, configure, and customize Oracle Fusion and WMS systems; develop reports, interfaces, extensions, and workflows; perform FBDI data migrations; provide technical support, troubleshooting, documentation, and training; lead design and development, optimize performance, automate processes, and collaborate with cross-functional and project teams.

Build and maintain full-stack software supporting patient-centered healthcare products. Contribute to architecture, technical standards, code reviews, design discussions, and reliable implementation. Collaborate with product managers, designers, and stakeholders, while advocating for privacy, security, and access to care. Mentor engineers, document knowledge, identify technical improvements, and help shape project direction. The role requires backend, database, cloud, and AI development-tool experience in a fully remote environment.

Lead architecture, development, and maintenance of WordPress delivery frameworks and website migrations using Gutenberg. Build custom themes, plugins, blocks, APIs, and reusable code while ensuring accessibility, performance, scalability, and testability. Support client websites, document implementations, and deliver user-facing features. Collaborate with designers, developers, project managers, and stakeholders using Agile methods. Provide technical leadership, knowledge sharing, and team training.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Supports systems developers by writing application code, queries, reports, dashboards, and unit tests. Learns Agile and TDD practices, participates in software testing, code reviews, team ceremonies, documentation, and technology exploration while gaining hands-on experience in Java and analytics development.

Lead and coach a team of 4–8 engineers while providing technical direction, architectural oversight, and hands-on coding support. Partner with Product and Design on roadmaps, technical strategy, and delivery improvements. Promote software quality, reliability, and stability; lead incident response and post-mortems; and collaborate with engineering managers and stakeholders to reduce dependencies and support customer success.

Support customers with complex database integration issues while contributing directly to Airbyte’s Java and Kotlin open-source connectors. Troubleshoot replication, CDC, query performance, authentication, networking, schema evolution, and warehouse or lake destinations. Reproduce bugs, inspect logs and query plans, improve connector reliability, review community contributions, and collaborate with Engineering, Product, Solutions, Sales, and Customer Success. The role also includes technical documentation, mentoring support engineers, customer onboarding, and developing AI-assisted troubleshooting processes.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.