Top Remote Python Jobs

Build and maintain cloud-native microservices, APIs, event-driven workflows, and serverless applications using TypeScript and AWS. Integrate new services with legacy WordPress and PHP systems, support platform modernization, write specifications and automated tests, troubleshoot production issues, and improve infrastructure, observability, and reliability. Collaborate remotely with product, design, QA, and engineering teams while participating in code reviews and on-call support.

Design, build, test, and maintain cloud-native microservices, APIs, and event-driven workflows using TypeScript, Node.js, and AWS serverless technologies. Integrate modern services with legacy WordPress and PHP systems, develop secure and scalable APIs, troubleshoot production issues, write automated tests, and contribute to infrastructure as code, observability, documentation, code reviews, and on-call support.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Build and scale secure, cloud-native full-stack applications for federal missions using React, TypeScript, Node.js, Python, and AWS. Develop APIs, microservices, event-driven workflows, infrastructure as code, CI/CD pipelines, and containerized deployments. Apply AI-assisted development tools, improve application security and performance, and collaborate with customers, designers, product owners, and mission stakeholders. The role requires technical ownership, clean tested code, documentation, and eligibility for DHS Public Trust and TSA clearance.

Leads a 45-person employee organization and 50 contractors responsible for USAA’s telematics application strategy, architecture, engineering delivery, vendors, budgets, security, compliance, and modernization. Oversees cloud, mobile, data, AI, machine learning, IoT, and connected-vehicle capabilities supporting insurance pricing, underwriting, claims, fraud detection, and member engagement. Partners with business and technology executives on roadmaps, technical debt reduction, SDLC controls, risk management, and ecosystem relationships.

Develop and maintain responsive, accessible web applications supporting Smithsonian digital experiences. Integrate front-end interfaces with Drupal and REST APIs, optimize performance, write tests, conduct code reviews, troubleshoot cross-browser issues, and collaborate with UX/UI designers, backend engineers, Agile teams, and museum stakeholders.

Lead the Control Planes and Ecosystem engineering organization, overseeing managers and multiple teams. Define strategy for Crossplane, enterprise control planes, Marketplace, providers, extensions, and partner integrations. Drive architecture, scalability, reliability, ecosystem growth, roadmap execution, production excellence, and cross-functional alignment with Product, GTM, Alliances, and Customer Success.

Provides application development, configuration, troubleshooting, documentation, testing, and administration across enterprise and SaaS platforms. Works with analysts and business users to gather requirements, automate workflows, support change control, and maintain custom processes. Develops solutions using Microsoft, Atlassian, Oracle, Dynamics, and data movement platforms, while supporting compliance, after-hours assistance, and backup administration.

Designs, develops, tests, and sustains secure software, analytical applications, data pipelines, visualization tools, and automated workflows supporting intelligence operations. Integrates cloud-native, distributed, and microservices technologies; evaluates system performance, scalability, security, and interoperability; and supports modernization and DevSecOps initiatives. Collaborates with military, government, contractor, and interagency stakeholders, translates intelligence requirements into technical capabilities, provides technical direction, documents solutions, and mentors junior developers.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.