Top Senior Python Jobs in Washington, DC

Manage and automate infrastructure for on-prem and cloud deployments using infrastructure-as-code. Build, deploy, and operate services (containers, orchestration, fleet management), improve observability and availability, support security practices, and collaborate with cross-functional teams to scale and operationalize ML and web applications.

As a Forward Deployed Engineer, you will lead government AI model deployments, design full-stack systems, and ensure successful integrations and relationships with public sector stakeholders.

Lead solutions architecture for government clients, embedding with stakeholders to deploy GenAI solutions, and ensuring project success through prototype development and technical guidance.

Lead the design and deployment of autonomous AI systems in investment technology, collaborating across teams to enhance business processes and decision-making through AI.

Design and implement core identity infrastructure for authentication and authorization. Build SSO, MFA, federated identity, and authorization systems (ReBAC/ABAC/RBAC). Create identity governance policies for compliance, integrate IAM with cloud services, and present technical guidance to stakeholders.

Own and operate Anthropic's endpoint platform: manage MDM as a production service, author configuration-as-code, build zero-touch provisioning and patching automation, run fleet software distribution and telemetry, partner on endpoint security and compliance, and serve as deep escalation for endpoint issues.

The Kong API Gateway Specialist will design, implement, and maintain Kong solutions to modernize and secure enterprise APIs, ensuring compliance with federal standards and optimizing API performance.

The Cloud Services Engineer leads the design and implementation of secure cloud architectures, driving cloud transformation projects while mentoring teams and ensuring high availability, security, and performance.

Develop and integrate advanced RF digital signal processing algorithms to detect, classify, track, and geolocate RF emissions. Work with recorded and synthetic I/Q data, SDR hardware (including RFSOC), and host processing platforms. Support algorithm modeling, software integration, testing, and field demonstrations while collaborating with cross-functional teams.

Lead development and validation of advanced passive RF geolocation algorithms (TDOA, FDOA, interferometry). Build high-fidelity simulations, implement real-time software on DSP/GPU/FPGA, integrate with RF/SDR hardware, define RF/timing requirements, and support system calibration and field validation. Collaborate across engineering, production, and business teams; travel up to 30% and work on-site multiple days weekly.

Lead development of passive RF geolocation algorithms (TDOA, FDOA, interferometry) from first principles through simulation, real-time implementation, integration, calibration, and field validation. Build high-fidelity simulation environments, quantify performance under real-world impairments, and partner with hardware and systems teams to define RF/timing requirements and support field demonstrations.