Top Remote Python Jobs

Leads enterprise software architecture and development across the product lifecycle. Defines technical direction, designs secure and scalable solutions, guides hands-on engineering, and drives modernization, automation, integrations, infrastructure-as-code, testing, reliability, and operational excellence. Collaborates with product, quality, and business stakeholders while mentoring engineers and managing delivery execution.

Build and scale secure, cloud-native full-stack applications for federal missions using React, TypeScript, Node.js, Python, and AWS. Responsibilities include developing APIs, microservices, event-driven workflows, infrastructure as code, CI/CD pipelines, containerized deployments, and AI-assisted engineering solutions. The role involves collaborating with stakeholders, improving application performance and security, and delivering reliable, well-tested software.

Leads the engineering organization responsible for modeling, rendering, simulation, distributed computing, and quality. Owns platform roadmap execution, manages engineering managers, accelerates AI-assisted software development, improves delivery and testing processes, and balances zero-to-one product development with ongoing releases. Partners with Product and represents platform engineering to company leadership. Requires deep technical credibility and a proven record of organizational transformation, product delivery, and engineering leadership.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Design, build, deploy, and operationalize Palantir Foundry solutions for defense and security customers. Develop data pipelines, ontology models, operator applications, integrations, and custom widgets using real-time intelligence. Debug infrastructure, networking, and application layers across cloud, hybrid, restricted, disconnected, and on-premises environments. Partner with customer stakeholders, advise technical teams, and own solutions end to end. Travel to secure customer sites and operations centers approximately 25–75% of the time.

Build and scale end-to-end full-stack features spanning APIs, databases, React interfaces, data pipelines, distributed services, and AI/ML integrations. The role involves developing LLM, RAG, and generative AI capabilities in GCP; optimizing reliability, security, and performance; collaborating across product and infrastructure teams; making architecture decisions; and mentoring junior engineers.

Leads software engineering teams, develops technical and people leaders, modernizes legacy customer-facing applications, and advances engineering practices. Partners with product, architecture, quality, DevOps, delivery, and business stakeholders to improve reliability, security, customer experience, adoption, and delivery speed. Drives CI/CD, automation, observability, resilience, cloud-native practices, and responsible adoption of AI-assisted software development while managing priorities, risks, dependencies, capacity, and organizational change.

Lead two engineering teams of 8–10 engineers, owning delivery, quality, capacity planning, sprint execution, OKRs, hiring, retention, and professional development. Establish scalable engineering processes, quality gates, testing standards, observability, and continuous improvement practices. Partner with Product Managers on roadmap execution while providing technical guidance on architecture, APIs, backend systems, infrastructure, and frontend platforms.

Build and maintain backend services, APIs, workers, shared libraries, and cloud-native runtime infrastructure for Alteryx Cloud orchestration and job execution. Develop asynchronous, event-driven, distributed systems with queues, persistence, retries, and failure recovery. Improve reliability through observability, testing, deployment tooling, and incident follow-up while collaborating across engineering and product teams.

Own end-to-end delivery of complex software features for a virtual care platform. Design scalable systems, build AI-powered agents and workflows, enhance reliable mobile and web experiences, and translate clinical and user needs into technical solutions. Collaborate with product managers, designers, and clinical staff while focusing on patient impact, product quality, and engineering efficiency.