Top Remote Python Jobs

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.

Build and ship fully native iOS and Android applications using Swift/SwiftUI and Kotlin/Jetpack Compose. Own mobile architecture, CI/CD, release infrastructure, enterprise authentication, managed-device support, security controls, OS integrations, and auditability. Deliver features including search, AI assistants, agents, notifications, widgets, and voice modes while ensuring accessibility, performance, offline behavior, and enterprise readiness. Establish AI-assisted development workflows and represent mobile in security reviews.

Lead and grow an AI-first software development team focused on clinic activation and onboarding. The manager will remain hands-on through architecture reviews, pairing, code shipping, and technical direction. They will partner with product, design, and data to run weekly releases, instrumentation, and experiments, while shaping AI-driven onboarding and responsible AI adoption. The role also requires coaching developers, owning activation outcomes, and partnering with adjacent AI and product teams.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Lead the evolution of Seeq’s frontend infrastructure, including React systems, component libraries, state management, styling architecture, and reusable application patterns. Drive large-scale refactors, improve developer experience, ensure accessibility and performance, evaluate open-source tools, and establish technical standards adopted across teams. Collaborate with designers, product teams, and engineers through architecture reviews, documentation, code reviews, mentoring, and cross-team delivery.

Develop scalable data pipelines, ETL processes, cloud data architectures, and AI/ML-enabled tools for chemical and biological threat data. Implement data quality, validation, enrichment, security, and access controls while supporting analytics, machine learning, knowledge graphs, and external system integrations. Collaborate in Agile teams and contribute to technical documentation and continuous improvement. The role requires extensive software or data engineering experience, cloud and containerization expertise, AI/ML frameworks, and an active Secret clearance.

Designs, builds, deploys, and supports scalable integration solutions across on-premise and cloud environments. Responsibilities include API integration, .NET backend development, SQL Server programming, data pipeline and warehouse development, data quality management, performance optimization, CI/CD testing, troubleshooting, and stakeholder collaboration. The role leads software delivery through the full lifecycle within an agile framework while ensuring reliable data transfers, regulatory compliance, and operational efficiency.