Top Remote Python Jobs in Washington, DC

Design, build, and test APIs and services for RoadieXD; develop internal and customer-facing React tools; partner with Product and Operations to deliver scalable, reliable features; influence architecture, write maintainable code, and improve system performance and developer experience.

Design, build, and operate production-grade automation and agent frameworks to integrate documentation, localization, and content platforms. Lead CI/CD pipelines, REST API integrations, LLM-based automation, monitoring, and cross-functional mentorship to reduce manual effort and improve reliability at scale.

Lead architecture and deliver scalable, secure Azure solutions across the enterprise. Design IaC modules (Terraform), landing zones, CI/CD pipelines (Azure DevOps/GitHub Actions), governance (Policy as Code, RBAC), observability (Azure Monitor, Log Analytics, Application Insights), cost/performance optimization, container infrastructure, and incident response. Mentor engineers, run design/code reviews, and collaborate with stakeholders to translate business needs into production-ready cloud platforms.

Design, deploy, and operate scalable multi-cloud data and AI platform infrastructure. Build IaC, CI/CD pipelines, containerized workloads, self-service ML provisioning, observability, and secure production practices while driving architecture, standards, and mentoring.

The role involves Test Engineering with specific requirements for security clearance and extensive experience. Responsibilities include executing evaluation plans, producing reports, and performance analysis, along with a focus on automation testing.

As a Mission Operations Engineer, you will deploy and integrate solutions, build relationships with clients, provide training, enhance products, and solve operational issues.

Lead the design and implementation of secure, scalable data processing platforms, focusing on ETL frameworks, event-driven systems, and high-performance microservices.

As a Founding Software Engineer, you'll architect and evolve core backend systems and streaming data pipelines, optimize performance and storage, and define data models to enhance AI deployment safety and performance in real-time environments.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Design, develop, and implement network automation solutions for GPON/XGS-PON and IP multi-vendor environments. Lead scripting (Python, Go), CI/CD pipelines, integrations, documentation, mentoring, and automation of provisioning, monitoring, and reporting to boost operational efficiency.

Lead and grow a Data Engineering organization to design, build, and operate scalable, governed data pipelines and enterprise data products. Define technical strategy and roadmap, improve data quality, reliability, observability and governance, partner with cross-functional teams, and drive platform evolution to enable analytics, ML, reporting, and self-service insights.

Design, build, and operate high-throughput distributed data pipelines and platform infrastructure. Own end-to-end systems from architecture to production, write production-grade Python, optimize SQL at scale, architect service contracts, mentor engineers, and instrument systems for observability.

Lead design, implementation, automation, and security operations for Azure cloud networking in FedRAMP High/IL4 environments. Build modular IaC (Terraform, ARM, Bicep), implement advanced networking and firewall controls, mentor team members, participate in on-call support, and translate compliance controls into enforceable guardrails.

Lead technical vision and architecture for the Mojo compiler backend: IR lowering, optimization passes, and code generation across CPUs, GPUs, and AI accelerators. Drive MLIR/LLVM initiatives, expand debugging and profiling tooling (LLDB/GDB, LSP, profilers), mentor engineers, collaborate with cross-functional teams, and engage with the open-source community to shape developer tooling and compiler strategy.

Lead design and hands-on development of AWS-based serverless backend and IoT cloud services. Build Python Lambda microservices, REST APIs, telemetry pipelines, and secure AWS IoT Core device communication. Mentor engineers, define architecture patterns, ensure production readiness (monitoring, CI/CD, security), and guide cross-functional integrations and technical roadmaps.

Lead fullstack technical work connecting Python/Django backend services with Unity (C#) client, drive technical roadmap, own live-ops reliability and incident management, mentor cross-functional teams, deliver scalable features, and reduce technical debt for a live-service mobile/PC game.

Lead backend development for MapMyFitness, collaborate with product/marketing/design, build and maintain APIs for mobile clients, respond to bugs, monitor and resolve incidents, ensure high availability, ship maintainable/testable code, and drive major architectural changes for a platform used by millions.

Lead full-stack development across Superset frontend and backend services. Design and ship end-to-end features, improve performance and scalability, own major technical initiatives, mentor engineers, set engineering standards, and collaborate with product, design, and the open-source community.

Join as the company's first SRE to design reliability processes, build observability/CI/CD/IaC tooling, define SLOs, embed with product teams, run incident response, and support compliance for patient data.

Build and scale a live ML data streaming analytics platform, lead greenfield real-time processing projects (Python/Rust), and design reliable backend services using cloud and orchestration tools.

Lead quality engineering within an Agile squad, design and maintain automated test suites across UI, API, microservices and DB, integrate tests into CI/CD, mentor SDETs, triage production issues, define test strategy, tooling and test environments, and enforce quality best practices.

Lead design and operation of the Synapse Everywhere external API platform: define API surface and guarantees, translate product and clinical requirements into contracts, own reliability and on-call incident response, provide technical mentorship and code reviews, and design scalable, secure cloud-native solutions (k8s, LLMs) with strong developer experience.

Design, build, and optimize scalable real-time and batch data pipeline infrastructure. Develop backend features focused on reliability and performance, write well-tested code, review technical designs, and contribute to infrastructure across mobile, desktop, and server systems.

Design, build, and operate large-scale distributed web crawlers and data pipelines. Handle anti-bot systems and dynamic/JS-heavy sites, perform cleaning, deduplication, filtering, and normalization, and maintain datasets for model training while optimizing for cost, latency, and reliability.

The Senior Site Reliability Engineer is responsible for maintaining Wikimedia's infrastructure, improving reliability, automating processes, and collaborating with teams. The role involves troubleshooting, managing deployments, and leading incident responses while working remotely.