Top Remote Python Jobs in Washington, DC

The AI Platform & Operations Engineer will design AI infrastructure, manage serverless architectures, implement security in CI/CD, and automate systems for a financial advisory firm.

As a Software Engineer, you'll develop and maintain APIs and backend services for automation in healthcare processes, ensuring reliability and scalability.

The Senior Software Engineer for the Treasury team will develop backend services for fund management, ensuring system reliability and leading projects in a fast-paced environment.

Lead a team of engineers managing Postscript's messaging backbone and drive operational excellence in high-volume distributed systems.

The Software Engineering Manager will lead and optimize data transformation projects using AI, collaborate with various teams, and ensure project delivery while balancing technical debt and new features.

The role involves advising customers on complex GIS challenges, demonstrating solutions, and leading technical meetings while utilizing Esri software. It requires technical expertise in GIS, AEC, and sales strategies, along with problem-solving skills to deliver integrated solutions and support revenue generation.

The Search Engineer maintains and enhances enterprise search platforms and indexing pipelines, ensures reliability of search services, and manages operational tasks including troubleshooting and performance optimization.

The Senior Software Engineer will build scalable backend systems, design APIs, and integrate ML models, enhancing Yahoo's search functionality.

The Senior Detection Engineer will architect scalable detection systems, develop automation for security response, and collaborate cross-functionally to enhance security measures.

As a Full-Stack Engineer at Afresh, you'll develop applications to enhance grocery store operations and optimize the fresh food supply chain, while collaborating with product teams and driving new feature development.

The Senior Software Engineer will design and maintain scalable applications for Loan Origination and Servicing, focusing on backend architecture and system design to enhance decision-making and workflows.

Design, develop, and deliver fullstack web solutions, optimize platforms, mentor engineers, and manage product features from ideation to launch.

Lead and grow the data platform team owning ingestion, transformation, and search layers. Drive architecture, reliability, and performance for real-time and batch pipelines ingesting TBs/day. Partner with detection engineering and product teams, hire and mentor backend engineers, set standards for data modeling and integrations, and remain hands-on to deliver scalable telemetry processing and query systems.

Serve as an embedded Linux expert on customer projects: design and refactor real-time architectures, develop Linux kernel drivers, debug low-level hardware/software issues, optimize kernel performance, collaborate with customers and internal teams, lead technical efforts, produce high-quality deliverables, and create technical proposals to support product lifecycle and certification.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Build and enhance full-stack web applications and APIs using React/TypeScript and Python. Work with PostgreSQL, DynamoDB, AWS, event-driven architectures, CI/CD, and AI-assisted development tools to prototype and improve AI-native engineering workflows.

Backend-focused engineer to develop and own core CRM and finance services end-to-end. Work in a fast-growth scaleup environment, shipping with agentic AI-assisted workflows, maintaining production Python/FastAPI services, owning testing and quality, and optimizing developer tooling and automation.

Backend engineer to develop and own core CRM and finance services. Work in a fast-growth scaleup, ship quickly using agentic AI workflows, own testing and service quality, and optimize developer tooling and workflows.

Contribute to development by writing, testing, and maintaining code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; collaborate remotely and continuously learn new tools and best practices.

Design, develop, and maintain backend and/or frontend features; own scoped projects from implementation through delivery; collaborate with distributed product and design teams; write clean, maintainable, well-tested code; participate in code reviews and engineering best practices.

Design and build AI-augmented test tooling and automated test infrastructure across mobile, web, and backend. Integrate testing into engineers' workflows (IDE, CI, monitoring, chatops), define quality gates, instrument AI usage and costs, ensure secure handling of PHI, and produce reusable libraries, documentation, and training to help teams adopt automated quality workflows.

Develop, enhance, and maintain enterprise web-based GIS applications, dashboards, APIs, and geospatial services. Integrate GIS with enterprise systems, support ArcGIS Enterprise, assist modernization to cloud, perform testing, troubleshooting, deployment, documentation, and user support within federal environments.

Own and improve Clever's infrastructure, deployments, observability, incident response, and security controls. Drive infrastructure migrations, build safer release paths, strengthen monitoring and runbooks, support SOC2 readiness, and improve staging/local environments to reduce operational friction and improve reliability.

Design, build, and maintain scalable backend services and gRPC APIs in Rust. Architect modular systems using Clean Architecture, CQRS, and event sourcing; implement actor-based concurrency, data access for relational/time-series/graph DBs, observability with Tracing/OpenTelemetry, and end-to-end testing. Collaborate in Agile teams, perform code reviews, communicate with clients, and operate services on Kubernetes when needed.

Build and maintain an in-house insurance rating engine using Python. Collaborate with stakeholders to gather requirements, design features, implement back-end and front-end components, analyze customer data for rating accuracy, debug data issues, and apply P&C insurance concepts to technical solutions.