Top 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.

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

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.

Systems Engineers will analyze user needs, design system specifications, implement and maintain systems, and ensure compliance and security while collaborating with teams.

Hands-on engineering leader responsible for designing, building, and operating enterprise endpoint platforms (Windows/macOS, VDI, Intune/MECM). Owns strategy, automation (zero-touch provisioning), OS lifecycle, security posture, and operational KPIs. Manages ~20-25 engineers, leads large migrations and vendor programs, serves as highest technical escalation for complex endpoint incidents, and drives testing, validation, and continuous improvement across thousands of endpoints in hybrid environments.

Lead design, automation, and operation of large-scale cloud services for federal customers. Improve reliability via SRE practices (SLIs/SLOs, incident response), build automation and self-service platforms using Go/Python, Terraform, and Kubernetes, and ensure compliance with FedRAMP/IL6. Mentor teams, drive reliability initiatives, and modernize deployments with CI/CD and GitOps.

Embed with U.S. government customers to design, build, deploy, and maintain mission software from prototype to production. Own end-to-end delivery, build backend systems and data integrations, collaborate with product and engineering to scale reusable capabilities, and serve as the technical point of contact to drive adoption and mission impact.

Implement and tune Microsoft Purview records management, classify and migrate content, develop Python and PowerShell automation for metadata extraction/validation, configure SharePoint Online and Power Platform workflows, and collaborate with records stakeholders to ensure compliant records governance.

Manage and maintain Linux and Windows servers, write scripts in PowerShell, Python, and shell, deploy and support cloud infrastructure, install and configure enterprise monitoring tools (Dynatrace, ScienceLogic, Splunk), configure alerting from logs, and build dashboards and visualizations for operations and executive views.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Lead performance, reliability, and cost optimization across Spark and streaming pipelines (Kafka/Flink), define data contracts, and establish best practices and tooling. Collaborate with platform, product, and deployment teams to deliver production-grade data systems on AWS GovCloud, Kubernetes, and Airflow.

Build and maintain scalable, user-centered backend and frontend systems. Design permission and secure collaboration frameworks for cross-organizational data sharing. Own major features end-to-end, work with product and design, iterate with deployment and users, and solve high-scale distributed system challenges.

Design and build control plane and automation systems to provision and manage network connectivity at scale. Extend APIs and self-service networking, automate infrastructure workflows across AWS and customer environments using Python, Terraform and Pulumi, and lead debugging of complex connectivity and distributed system issues.

Lead and mentor engineering teams to design, build, and ship scalable, production-grade software. Own major features, drive technical decisions, collaborate with product and design, and ensure reliable distributed systems supporting real-time collaboration, high-scale data ingestion, and ML-powered features.

Deploy and configure Pryzm's platform onsite for federal customers: build integrations and data pipelines, write production code, diagnose full-stack issues, translate user needs into technical solutions, and create reusable deployment tooling while partnering with product engineering and customer technical teams.

Responsible for deploying, configuring, maintaining Linux servers, assisting with system administration, and managing OS patches using various tools.

Looking for a Python(Django) Developer with expertise in Python, Django, and front-end technologies. Responsibilities include maintaining design integrity and communicating with clients effectively.

The role involves Test Engineering with specific requirements for security clearance and extensive experience. Responsibilities include executing evaluation plans, producing reports, and performance analysis, along with a focus on automation testing.

Lead QA efforts for a modern AWS GovCloud-based workflow application: design and execute test strategy, implement and maintain automation (Playwright/Selenium), validate front-end (Angular), APIs, and databases (Postgres/SQL Server), run CI/CD integrated test suites, support performance testing, and drive quality in Agile teams.

Responsible for full lifecycle development of privacy-focused telecommunications, improving system reliability, and managing compliance for FedRamp.

As a Mission Operations Engineer, you will deploy and integrate solutions, build relationships with clients, provide training, enhance products, and solve operational issues.

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.