Top Remote Python Jobs in Washington, DC

Architect and lead RapidFort’s scalable build platform for producing hardened container images. Responsibilities include designing distributed build systems, automating image creation and validation, improving reliability and performance, solving Linux and container infrastructure challenges, establishing software supply chain standards, influencing cross-team architecture, and mentoring engineers. The role requires deep expertise in Linux, Docker, Kubernetes, Python, Bash, CI/CD, distributed systems, and build automation.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Build, configure, administer, and support enterprise SaaS applications, ERP/CRM integrations, SQL data models, ETL processes, and automated workflows. Diagnose production issues, improve reliability, manage testing and deployments, document systems, coordinate vendors, and partner with business, data, security, and validation teams to deliver dependable commercial applications.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.

Lead backend-focused software architecture and development across distributed systems, data ingestion, experimentation platforms, AI workflows, and product capabilities. Build primarily in Python while contributing to React and TypeScript frontend work. Translate ambiguous product needs into scalable production systems, guide technical direction, partner with product and data teams, mentor engineers, and improve engineering practices.

Build backend services, APIs, data-processing systems, and frontend features for Northbeam’s marketing intelligence platform. Work on experimentation, near-real-time data infrastructure, AI-powered workflows, data integrations, RBAC, and end-to-end product delivery. Collaborate with data scientists, product managers, designers, and senior engineers while contributing across backend, frontend, pipelines, and infrastructure in a fast-moving environment.

Owns the reliability, security, performance, and availability of AWS-hosted healthcare infrastructure. Builds infrastructure as code, CI/CD automation, monitoring, observability, backup and disaster recovery capabilities. Leads incident response, optimizes cloud resources, implements security controls, supports customer onboarding and migrations, and ensures compliance with healthcare privacy and software lifecycle requirements. Participates in on-call rotations and provides technical guidance to engineering and support teams.

Build and maintain Clay-based GTM automation, enrichment pipelines, lead scoring, CRM and outbound-tool integrations, and reporting systems. Automate workflows using APIs, webhooks, Python, or JavaScript; improve data quality, deliverability, and campaign performance; and partner with sales and marketing to convert business needs into scalable technical solutions.

Administer and secure the organization’s GitHub environment, including repositories, permissions, branch protections, security controls, and CI/CD workflows. Build automation with GitHub Actions, APIs, and scripting; monitor reliability against SLOs; troubleshoot incidents; and improve developer experience. Integrate identity providers and security tools, support migrations, maintain documentation, and guide teams on GitHub usage and Copilot adoption. The role requires SRE or DevOps experience, infrastructure-as-code, containers, cloud platforms, and observability tooling.

Supports and enhances software, data, reporting, integration, and internal systems. Responsibilities include troubleshooting applications and data pipelines, maintaining SQL and Power BI environments, writing code, debugging APIs, supporting deployments and incident response, documenting solutions, working helpdesk tickets, and applying approved AI tools securely. Collaborates with engineers, analysts, developers, and business stakeholders to resolve issues, automate work, improve systems, and reduce operational burden.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Develop and ship full-stack web and mobile experiences across Affirm’s consumer app and website. Collaborate with product, design, analytics, and engineering teams to break down projects, make technical decisions, write tested and extensible code, launch scalable APIs, monitor service health, support on-call operations, review code, and participate in team development and interviewing.

Work with the development team to build and debug web applications: write Python backend code, create responsive HTML/CSS/JavaScript frontends, integrate frontend and backend, participate in code reviews and testing, learn frameworks and document progress.

Design, build, test, and maintain backend services and APIs powering the insurance platform. Integrate payments, documents, and data providers, improve system stability, performance, and scalability, mentor team members, and participate in architectural decisions and agile ceremonies.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Lead end-to-end technical integrations with enterprise healthcare customers from pre-sales through production. Scope and deliver architecture, POCs, API integrations, data mappings, and runbooks. Ensure AI/ML features meet regulatory and clinical safety standards, build reusable integration patterns, collaborate cross-functionally, and mentor junior engineers to drive successful go-lives.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.