Top Remote Python Jobs in Washington, DC

Own and operate Chess.com's Elasticsearch/OpenSearch platform: capacity planning, cluster architecture, performance tuning, incident response, migrations, and GitOps-driven infrastructure. Provide on-call incident leadership, snapshot/disaster recovery, index and mapping guidance, and enable cross-team use of dashboards and query optimizations at massive scale.

Lead reliability for a serverless AI inference platform: own observability and SLO/SLI frameworks, build automation and tooling, manage incidents and on-call, define deployment safety (canaries, rollbacks), influence architecture with product teams, and mentor other SREs.

Design, build, and improve shared services and engineering capabilities for government systems. Develop software in Go and Python, review teammates' code, write design documents, and own projects. Work independently, apply engineering best practices, and ramp quickly in complex environments.

Lead and set technical direction for a cross-functional engineering group owning billing, accounting, membership eligibility, and enrollment systems. Hire, mentor, and scale engineering managers and engineers; define roadmaps, drive cross-functional alignment, and balance technical investments with rapid product delivery while improving systems, architecture, and engineering processes.

Lead design and delivery of cloud and AI production systems, partner with stakeholders to translate needs into architecture, ensure security and quality, mentor engineers, and drive customer adoption and scalable reusable solutions across engagements.

Build, integrate, and stress-test full-stack applications and backend services that leverage advanced AI models. Develop production APIs, front-end features, databases, and cloud infrastructure; troubleshoot integrations; prototype rapidly and deliver high-quality code and documentation in fast-moving environments.

Build and own backend surfaces for Plane: APIs, data models, migrations, real-time sync (CDC/event streams), caching, and query performance. Instrument, monitor, and debug production incidents; collaborate with product and frontend teams across locations.

Build and maintain Plane's local-first browser client surfaces: large, virtualized workspaces, collaborative editor, offline/caching layers, and shared design-system components. Work cross-functionally with designers and backend engineers, extend sync and conflict-resolution behavior, optimize rendering performance, and triage cross-browser and self-hosted issues.

Lead frontend architecture and technical strategy for a collaborative work platform. Build scalable React/TypeScript applications, design systems, real-time collaboration (sync, offline, serialization), optimize performance and observability, mentor engineers, and collaborate with Product, Design, and Backend teams to deliver high-quality, maintainable user experiences.

Own and build Node.js/TypeScript backend services that power integrations, importers, queues, and developer-facing OAuth surfaces. Design reliable queue/worker systems (retries, idempotency, backpressure), integrate third-party APIs, collaborate with Django engineers, and repair partial failures to ensure safe, auditable data migrations and integrations.

Own and improve Plane's automated test suite for web and desktop clients: design frameworks, cover hard-to-test scenarios (concurrency, offline/recovery, agent-driven nondeterminism), keep tests fast and reliable, run suites in CI, test cloud and self-hosted environments, and triage failures across teams and community PRs.

Lead technical consultant responsible for full software development lifecycle: estimating, design, implementation, testing, deployment, and support. Serve as technical lead and mentor, translate requirements into technical designs, collaborate with architects and developers, and communicate solutions to technical and non-technical stakeholders.

Build and maintain cloud infrastructure and IaC across environments, improve CI/CD pipelines, manage monitoring/observability and on-call runs, lead incident response and post-mortems, optimize cloud costs, enforce infrastructure security and partner with developers to improve reliability and deployment workflows.

Design, build, and maintain analytics features across a TypeScript/React frontend and Python/PostgreSQL backend. Implement APIs, dashboards, automated tests, troubleshoot production issues, review code, and collaborate with product and design to deliver reliable, product-focused B2B SaaS experiences.

Design, implement, and maintain scalable, fault-tolerant backend services for real-time data synchronization and streaming. Optimize latency, throughput, and reliability, guide multi-region and disaster-recovery architecture, own projects from concept to production, and improve observability, automation, and incident response.

Design, build, and operate scalable backend systems and APIs across a distributed service-oriented architecture. Own features end-to-end, partner with product stakeholders, ship shared infrastructure, and maintain high code quality. Participate in an on-call rotation and collaborate in a distributed North American team to deliver reliable, high-performance user experiences.

Design and deliver scalable backend systems and APIs, own features end-to-end, drive technical direction, collaborate with product stakeholders, build shared infrastructure, and participate in on-call rotations.

Design and scale high-performance Ethernet and InfiniBand fabrics for hyperscale AI training clusters. Develop ROCE transport and congestion-control mechanisms, topology and routing strategies, telemetry and observability, cluster bring-up, benchmarking, tuning, and cross-vendor co-design to enable low-latency, lossless networks at 10k–100k+ GPU scale.

Provision, configure, operate, and maintain systems hardware, software, and infrastructure to support R&D. Troubleshoot networks, manage core services (DNS, DHCP, AD), automate tasks, document processes, follow change management, and collaborate with DevOps and Engineering teams. Occasional short-notice travel for network troubleshooting.

Lead quality strategy for an AI-first platform: define testing standards, metrics, and automation; validate AI models and data pipelines; design API and UI tests; coach teams on shift-left quality and release gates; improve observability and performance practices to ensure scalable, data-driven quality outcomes.

Lead design, scaling, performance tuning, and reliability of PostgreSQL databases for a high-availability SaaS platform. Troubleshoot production incidents, automate administration, maintain security and observability, and mentor engineering teams on query and schema optimization.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Own and modernize end-to-end Workday-to-Talent integrations: design, build, deploy, and operate integrations; define standards; implement transformation logic; ensure observability, reliability, and vendor delivery; document and coach partners.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.

Design, develop, and maintain manufacturing and production test software for programming, calibrating, and verifying products. Integrate with embedded systems and test instruments, implement automated test sequences and traceability, investigate failures, and improve throughput, quality, and yield across factory programming stations and production fixtures.