Top Remote Python Jobs in Washington, DC

Provides technical leadership for the 340BCheck healthcare data platform. Designs architecture across front-end, back-end, data, infrastructure, and CI/CD; resolves complex distributed-systems problems; drives refactoring, observability, and cross-team initiatives; mentors senior engineers; communicates technical tradeoffs; and influences long-term engineering direction without direct people management.

Designs, implements, and supports Azure DevOps solutions for clients. Leads technical envisioning, solution design, cloud workload deployment, automation, CI/CD implementation, infrastructure transformation, troubleshooting, and remediation. Provides technical leadership to consultants and delivers client-facing cloud projects involving Azure infrastructure, DevOps pipelines, cloud automation, and emerging cloud technologies.

Design, build, operate, and maintain Grafana’s distributed search and storage systems. Deliver features from ideation through production, ensure reliability and performance, participate in on-call rotations, contribute to open-source projects, and collaborate remotely across teams. The role also involves mentoring colleagues, participating in technical design discussions, understanding customer needs, and continuously improving cloud-based services and engineering practices.

Develop and maintain backend and frontend services for a SaaS cyber-physical systems platform using Python, Go, React, and cloud-native technologies. Investigate production incidents, replicate customer issues in staging, perform root cause analysis, and deliver feature enhancements. Ensure compliance with FedRAMP, CMMC, and GovCloud requirements while collaborating with distributed engineering teams across the US and Israel.

Own mobile product areas across architecture, implementation, testing, releases, and production operations. Set technical direction for shared mobile architecture supporting multiple branded apps, diagnose device and platform issues, and establish testing, security, privacy, accessibility, performance, and reliability practices. Partner with Product, Design, and QA, lead incident response, manage release and rollback readiness, and mentor engineers while using AI-assisted development responsibly.

Build and maintain scalable production infrastructure, CI/CD pipelines, and cloud platform capabilities. Design infrastructure architecture, automate manual processes, manage Kubernetes-based environments, scale databases and messaging systems, and monitor production services. The role partners with engineering teams across the product lifecycle and uses infrastructure as code, Helm, cloud technologies, and open-source tools to improve reliability, delivery, and developer experience.

Develop incident-response dashboards and SLO-based alerts, improve logging, metrics, tracing, authentication, and infrastructure observability, benchmark cloud storage, review security and network configurations, optimize costs, build application features, create infrastructure-as-code for AWS, GCP, and Azure, and support IAM needs.

Design, build, operate, and maintain highly available distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features end to end, improve reliability and performance, review code and designs, manage releases, participate in follow-the-sun on-call rotations, and collaborate remotely with teammates and customers. Work primarily with Go across Kubernetes-based cloud infrastructure and observability systems such as Mimir, Loki, Tempo, and Pyroscope.

Design, build, operate, and maintain large-scale distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features from concept through production, improve reliability and performance, participate in design reviews and on-call rotations, contribute to roadmap decisions, and collaborate remotely with engineers. The role focuses on Go-based cloud services running on Kubernetes across AWS, GCP, and Azure, with observability, DevOps, and customer-focused software development responsibilities.

Lead the development of Runware's serverless platform by building core systems for AI workload management and providing technical guidance to the team.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

Designs and engineers automated internal audit workflows that enable continuous assurance. Responsibilities include re-engineering audit processes, orchestrating AI agents, developing prompt and agent libraries, integrating Power Automate and GRC platforms, automating document and population testing, creating real-time risk dashboards, and ensuring AI governance, privacy, explainability, and human validation. The role requires technical audit transformation experience, LLM orchestration, automation platforms, SQL or Python, data governance, and data warehouse expertise.

Design and optimize passive and active silicon photonic components from simulation through layout, foundry tapeout, and characterization. Perform electromagnetic and multiphysics simulations, analyze wafer-level measurement data, develop manufacturable designs, and collaborate with layout engineers, system-level PIC designers, and foundry partners. The role focuses on improving optical performance, fabrication tolerance, bandwidth, crosstalk, insertion loss, and power consumption for LiDAR and optical switching applications.

Develops silicon photonic integrated circuit layouts from floorplanning through tapeout. Responsibilities include dense waveguide routing, multilayer optical interconnects, PCell and layout library development, Python-based automation, photonic-electrical integration, physical verification, and collaboration with designers, packaging engineers, and foundry partners.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Develop and maintain enterprise geospatial applications, web GIS interfaces, dashboards, workflows, APIs, and integrations in a federal environment. Support ArcGIS Enterprise and Server solutions, geospatial visualization and data management, testing, troubleshooting, deployment, performance tuning, documentation, cybersecurity requirements, user support, and training. Collaborate with infrastructure, security, GIS, data, and program teams to meet DHS IT requirements.

Develop and maintain automated test scripts, execute manual and automated testing, analyze results, identify and track defects, and perform regression testing. Collaborate with developers and distributed teams throughout the software development lifecycle to ensure application quality and testability. The role also involves using and validating approved AI-assisted tools for coding, testing, debugging, documentation, and technical research.

Designs and implements manual and automated tests across unit, component, integration, and end-to-end levels. Builds scalable UI and API automation frameworks, conducts performance and load testing, creates test reports, investigates regressions, and provides testability feedback. Collaborates with engineering, product management, and UX teams in an agile environment. The role requires Python and JavaScript automation expertise, cloud and container experience, CI/CD familiarity, SQL, and knowledge of microservices.

Leads architecture, reliability, and automation for cloud network foundations across AWS, GCP, Azure, and internal infrastructure. Designs routing, segmentation, firewalls, connectivity, access, and infrastructure-as-code systems; establishes SLOs, monitoring, incident response, and recovery practices. Builds reusable automation, improves change safety, partners across platform, security, IT, and engineering teams, serves as a senior escalation point, creates operational standards, and mentors engineers.

Designs and delivers scalable, resilient, cloud-native infrastructure services for Azure Virtual Machine Scale Sets. Responsibilities include gathering requirements, creating design documents, writing maintainable code, estimating work, monitoring services, responding to incidents, and improving availability, reliability, observability, efficiency, and performance at hyperscale.

Administer and optimize enterprise Windows and Linux infrastructure, virtualization, cloud platforms, networks, storage, security, endpoints, identity systems, and disaster recovery. Monitor performance, resolve infrastructure issues, maintain compliance controls, document systems, support technical escalations, and lead upgrades, migrations, and deployments. The role requires independent management of complex environments and strong communication with technical and non-technical stakeholders.

Own full-stack features for Techstars OS from data ingestion and APIs through React interfaces and production delivery. Build AI-native search, retrieval, and assistive workflows using founder and portfolio data. Lead migration and retirement of legacy tools, develop data pipelines, improve testing and CI/CD, and provide architectural guidance. The role requires strong autonomy, written communication, and end-to-end ownership across cloud infrastructure and product development.

Build and operate large-scale data acquisition systems, including web crawlers, distributed processing platforms, backend services, data pipelines, and asynchronous workloads. Improve ingestion reliability, scalability, observability, fault tolerance, and data quality. Collaborate with data product and engineering teams to develop data products, design schemas and pipelines, and deliver resilient systems in a remote-first environment.