Top Remote Python Jobs in Washington, DC

This role involves ensuring the reliability and performance of ClickHouse's cloud infrastructure, collaborating with engineering teams, incident management, and driving continuous improvement in service availability.

The Senior Software Engineer will architect and optimize AI-powered developer tools, enhance the SDLC, collaborate across teams, and mentor peers to improve engineering productivity.

Build and improve the end-to-end experience for new customers by implementing features across Python services, a GraphQL gateway, Auth0-based auth, and Terraform-managed GCP infrastructure. Collaborate cross-functionally to redesign discovery, evaluation, onboarding, and time-to-value while ensuring reliability, testing, and stable deployments.

Lead design, implementation, and operation of production-quality DevOps platforms and automated test infrastructure for heterogeneous edge hardware. Improve CI/CD, build/release, deployment automation, developer tooling, and platform reliability. Enable reproducible tests, diagnose failures across devices, partner with engineering and QA, and drive major infrastructure initiatives from ambiguity to production.

Design, analyze, and test propulsion systems (primarily solid, with liquid/hybrid as needed) across the product lifecycle. Perform internal ballistics, structural and thermal analysis, develop propulsion performance models, support static/hot-fire and flight tests, integrate propulsion with airframe and avionics, advise on hardware fundamentals and producibility, and contribute to propulsion design standards and design reviews.

Lead hands-on development of scalable, secure enterprise applications. Partner with business stakeholders to design and deliver full-stack solutions using Python, React/Next.js, REST APIs, microservices, and cloud platforms (AWS). Work with enterprise data platforms (Snowflake, Databricks, PostgreSQL, SQL Server) to prototype and productionize impactful software.

Lead design and implementation of scalable, reliable platform systems; define SLIs/SLOs and observability; drive cross-team strategic initiatives; mentor engineers; own production standards, incident management, and cost/operational optimization to improve platform reliability and scalability.

Design, build, and maintain secure, scalable data pipelines and ML data workflows to support IRS fraud detection and compliance analytics. Collaborate with data scientists and stakeholders, troubleshoot production issues, produce documentation and briefings, and operate in restricted government environments.

Lead a software engineering team to deliver scalable, reliable systems. Own delivery, technical quality, hiring and talent development, cross‑functional collaboration, and continuous improvement across modern front-end and back-end stacks and cloud environments.

Design, build, and launch backend services to process and analyze clinical data at scale. Collaborate cross-functionally, enforce secure coding and privacy, support production systems, and drive technical improvements.

Develop and deploy serverless AWS applications, build and maintain REST APIs, implement CI/CD (ADO) pipelines, write automated tests, and use OpenAPI for API-first design.

Design, develop, customize, test, and troubleshoot integrations between software systems to ensure seamless data flow. Document implementations, collaborate with development and project teams, provide end-user technical support, and stay current with integration platforms and cloud technologies.

Develop and optimize GPU-accelerated algorithms for quantum circuit simulations, collaborating with various teams, and leading technical efforts.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

Lead a DevOps team to design, implement, and improve CI/CD, IaC, and cloud-native deployments (Kubernetes/AWS). Build automation, ensure scalability/high availability, enforce best practices, collaborate across teams, and support secure deployment to US Government classified environments.

Design, build, and operate a reliable, scalable developer platform and cloud infrastructure (GCP/GKE). Lead SRE practices: SLO/SLI, observability, incident response, on-call, automation, security-by-default, Terraform IaC, CI/CD, capacity planning, mentoring, and platform enablement across teams.

The Workato Integration Architect will design and implement integrations using Workato, lead development of recipes and connectors, and collaborate with teams to define and optimize integration strategies.

Own and modernize billing systems: define plans, pricing, entitlements, usage metering, and billing APIs. Decompose monoliths into independently deployable services, ensure end-to-end correctness (reconciliation, idempotency), operate SLOs/alerting, and run on-call. Integrate with billing, CRM, and finance systems.

Design, implement, and maintain cloud infrastructure in compliance with IL5 and FedRAMP High standards, focusing on automation, security, and collaboration with security and compliance teams.

Design and lead architecture for scalable, secure cloud-native applications on GCP; define agentic AI architectures, APIs, and integration strategies; mentor teams, enforce governance, and drive DevOps, observability, and performance best practices.

Design, develop, modernize, test, and maintain data-driven software and relational databases for FAA aeronautical information distribution. Gather requirements, implement COTS integrations, troubleshoot production issues, produce technical documentation, participate in reviews, and provide technical leadership and mentoring across the software development lifecycle.

Design and develop Presidio's internal Managed Services platform and automations. Provide technical guidance and mentoring, identify automation opportunities, perform proofs of concept and pilots, collaborate on production security improvements, author technical documentation, and engage with stakeholders to capture requirements and operationalize solutions.

Lead architecture and scaling of the AV simulation engine, develop high-fidelity vehicle dynamics and multi-body physics, integrate rendering and sensor-simulation, ensure determinism and performance, own unified evaluation metrics backend, collaborate with HiL partners, lead design/code reviews, and mentor engineers.

Lead exploration and development of novel EO/IR payload concepts, build simulations and radiometric models, define system requirements, perform feasibility and trade studies, support R&D proposals and demonstrations, and collaborate across product, applied science, mission systems, and business development to translate early-stage ideas into technical architectures and customer-facing capabilities.

Develop, calibrate, and validate RF propagation models for Wi‑Fi, 5G NR, and NTN; produce coverage predictions and heatmaps; perform capacity planning and throughput modeling; build simulation environments and automation tools; conduct field surveys and collaborate with RF design and systems teams.