Top Remote Python Jobs in Washington, DC

Implements and maintains GCP cloud infrastructure, builds automation, troubleshoots infrastructure and observability issues, supports incident response, and improves scalability, security, availability, monitoring, and compliance. Collaborates across technology and business teams on workflow automation and participates in on-call rotations, outage response, documentation, metrics, and sprint processes.

Build and maintain full-stack software products across frontend, backend, data, and AI layers. Own product architecture, deployment, observability, reliability, and maintenance; establish unified data models, secure access controls, AI guardrails, and engineering standards. Collaborate directly with non-engineering users to create self-service workflows and translate ambiguous needs into practical solutions. Ship production LLM-powered systems and support governed data transformation, quality, lineage, and testing.

Configure, build, and maintain enterprise integration workflows, microservices, and APIs connecting telecom OSS/BSS, CRM, digital channels, cloud services, AI platforms, and third-party systems. Implement service orchestration, routing, transformation, messaging, and API security using OSB, Apigee, and 3Scale. Troubleshoot performance and security issues, document integrations, and collaborate with distributed platform, application, and infrastructure teams.

Lead the design, development, testing, deployment, and optimization of scalable distributed applications and web services. Build Python/FastAPI backend services, ReactJS interfaces, and PostgreSQL data systems. Deploy and monitor cloud-native applications on GCP, collaborate on AI/ML integrations, contribute to architecture and SDLC practices, and mentor junior developers through code reviews and technical leadership.

As a Community Engineer, you will develop AI-powered tools and maintain community operations, engaging with diverse software engineers and delivering projects independently.

Build, test, deploy, and maintain accounting software for transaction categorization, revenue recognition, and accurate financial reporting. Own projects end to end, create technical designs and rollout plans, conduct code reviews, collaborate cross-functionally, investigate production issues, improve reliability, and mentor teammates. The role involves working with typed Python, JavaScript, TypeScript, Vue.js, Terraform, AWS, and PostgreSQL in a remote environment.

Lead ambiguous, multi-team software projects for core accounting systems. Set technical direction, make architectural decisions, build and deploy reliable software, review technical specifications, investigate production issues, and improve system reliability. Collaborate with product and cross-functional stakeholders, mentor and sponsor engineers, and maintain high standards for clean, tested code. The role focuses on typed Python backend services, financial systems, integrations, and cloud infrastructure.

Design, maintain, and expand automated API and end-to-end test coverage using Playwright and TypeScript. Integrate tests into GitHub Actions quality gates, troubleshoot failures and flakiness, validate databases with SQL, and own performance and load testing. Manage test cases and traceability in Xray, document defects, participate in Agile ceremonies, collaborate with developers, and improve automation frameworks, test data strategies, and quality reporting.

Leads Zero Trust automation and orchestration by designing reusable workflows, developing scripts and API integrations, automating evidence collection and reporting, and supporting standardized deployment and validation tooling. Documents automation architecture, dependencies, security considerations, and handoff requirements while measuring effectiveness and recommending improvements. Requires experience integrating security, analytics, ticketing, and infrastructure platforms, with knowledge of Federal cybersecurity controls and secure automation practices.

Develop and maintain XNAT platform functionality for clinical and research imaging: design and implement features, write and test code (Java, JavaScript, Python), manage releases and CI/CD, triage defects, mentor junior engineers, integrate with adjacent systems (DICOM, JupyterHub, data lakes), and document architecture and upgrade procedures.

Coach, mentor, and train early-career software engineers; run daily labs; guide project requirements and implementation; support recruiting via technical interviews; assist Engineering Manager with planning, execution, and performance oversight; maintain and evolve training materials and course integration; capture feedback and escalate performance issues.

Lead and coach multiple consultant teams to deliver enterprise-scale capstone projects. Set technical direction, mentor engineers, manage priorities, plan and execute product delivery, define architecture and non-functional requirements, collaborate with stakeholders, maintain delivery pipelines, and drive continuous improvement in engineering and recruiting practices.

Design and implement scalable, secure cloud-native microservices and data platforms. Collaborate with product and stakeholders, mentor junior engineers, build CI/CD pipelines, and translate business needs into developer-ready stories.

Customize and configure ServiceNow applications and workflows, manage releases and environments, analyze system interactions, gather and document requirements, develop integrations and import data, troubleshoot issues, and maintain processes, standards, and tools to support Service Transformation and IT operations.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Design, implement, and support web-based, AI-driven products in a microservice architecture. Collaborate with cross-functional teams to build performant, accessible front- and back-end components, translate business needs into technical solutions, and participate in UI/UX design and continuous learning.

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Build end-to-end product features and intuitive interfaces/APIs for document and workflow management. Lead design and implementation, collaborate with engineering to ship polished products, monitor success, and optimize frontend performance.

Lead platform reliability: define SLOs/error budgets, own observability and deploy pipelines, harden integrations with dental systems, operate LLM-driven workflows safely, build incident practices, and raise engineering reliability across the company.

Build and maintain test automation, performance testing and analysis tooling for a distributed database (primarily in Python). Collaborate with stakeholders to create reproducible tests, extend developer tooling, and produce documentation and runbooks for maintainers and developers.

Lead the on-vehicle autonomy team to design, build, integrate, and field autonomy software for autonomous surface vessels. Own navigation, planning, control, behaviors, safety logic, and autonomy execution; drive architecture, testing, simulation, HIL, field deployments, and cross-functional integration while mentoring engineers and ensuring mission-ready, maintainable autonomy systems.

Lead and own AWS infrastructure for an LLM-powered enterprise coaching product. Design scalable IaC (Terraform, Ansible), CI/CD, autoscaling, networking and security (SIEM, EDR/XDR). Optimize costs, ensure high availability, collaborate with application and AI teams, and implement enterprise-grade security and compliance for Fortune 500 deployments.

Plan, forecast, and optimize hardware capacity for storage, compute, and network. Build predictive models and automated forecasting pipelines, monitor cluster performance, align cross-functionally with engineering, operations, and finance, and support procurement and deployment decisions to ensure scalable, cost-efficient platform reliability.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.