Top Remote Python Jobs in Washington, DC

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

The Senior Data Engineer will design and optimize data pipelines, support MLOps initiatives, collaborate with teams, and ensure data quality for AI/ML projects.

As a Software Engineer at MerusCase, you will develop and enhance software features, collaborate with teams, troubleshoot issues, and uphold coding standards while mentoring junior engineers.

Collaborate with a distributed team to develop, maintain, and modernize the Landscape management software for Ubuntu, focusing on quality code and automated testing.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

The role involves building a large-scale data ingestion system using Python, web scraping, and data processing technologies to extract and classify data from diverse sources, and optimize data pipelines.

As a Forward Deployment Engineer, you'll translate business needs into technical architectures, prototype AI applications, and integrate solutions while collaborating with teams to drive transformations.

Join Aleph's engineering team to develop the Core Product, focusing on user-facing features for financial data insights. Collaborate with leadership, design robust software components, and contribute to system architecture in a fast-paced, remote environment.

Lead the technical vision for complex systems, drive architectural strategies, write production-ready code, and align teams for public sector compliance.

As a Software & Data Engineer, you will design data pipelines, deploy AI tools, build data warehouses, and integrate systems for clients, ensuring data quality and performance.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Design, build, operate, and evolve backend services and runtime infrastructure for cloud orchestration and job execution. Own distributed, asynchronous systems, APIs, workers, persistence, and service-to-service coordination. Improve reliability, observability, testing, and operational tooling; lead cross-team designs and mentor engineers.

Join a remote Strategic Projects engineering team to turn AI-native prototypes into production-grade services. You will harden demos (LLM gateways, proxies, sandboxes), implement observability, error handling, and security practices, work with reference customers on integrations, and ensure agent-generated code meets production review and operational standards.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Develop high-fidelity RGB and LWIR camera models and synthetic-data pipelines in Unreal Engine, stream sensor outputs to ROS 2, implement noise/artifacts and target injection, manage 3D asset pipelines, and optimize headless/real-time simulation for perception and Target State Estimation testing and CI/CD integration.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

First dedicated QA hire responsible for test planning, building and maintaining automated test suites across a TypeScript+Python stack, integrating tests into CI/CD, running regression and performance tests, identifying and verifying bugs, improving observability, and documenting QA processes.

Lead design, architecture, and delivery of enterprise web, mobile, backend and cloud solutions. Provide technical and people leadership across Agile teams, enforce engineering best practices (CI/CD, DevSecOps, observability), mentor engineers, manage delivery risks, and drive platform modernization and production readiness.

Lead architectural strategy and modernization for large-scale distributed systems. Design modular, extensible services, migrate legacy monoliths to microservices, optimize AWS infrastructure and costs, document and visualize systems, facilitate cross-functional design, mentor engineering teams, and scout emerging technologies.

Lead design, build, and scale GridUnity's cloud SaaS platform. Own end-to-end features, mentor engineers, drive architecture, improve scalability, reliability, security, and data practices while collaborating with product teams.

Work on a DevOps/SRE platform team to build and maintain Kubernetes clusters, IaC, CI/CD pipelines, identity management, monitoring, certificate lifecycle, and security compliance. Troubleshoot deployments, support on-call incidents, document runbooks/ADRs, mentor junior engineers, and contribute to strategic platform planning and automation to ensure a reliable, secure, and scalable cloud platform.