Top Senior Python Jobs in Washington, DC

The Senior AWS Cloud Architect will design and optimize AWS cloud solutions, implement Infrastructure-as-Code with Terraform, develop CI/CD pipelines, and lead technical efforts.

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

Lead design, delivery, and operation of business-critical distributed systems. Build and maintain enterprise-grade, full-stack solutions, drive technical initiatives, mentor teammates, adopt new technologies, and deliver iterative customer-focused releases with emphasis on maintainability, performance, and scalability.

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.

The Staff Site Reliability Engineer will design reliable network solutions, maintain cloud infrastructure, troubleshoot issues, and improve system efficiency.

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 Senior Network Engineer manages global network services, focusing on reliability, compliance, and performance while implementing automated solutions and leading incident responses.

The Senior ServiceNow Developer designs and builds solutions on the ServiceNow platform, working with stakeholders to enhance legal practice operations and improve service delivery through automation and integrations.

The Staff Site Reliability Engineer will manage large-scale cloud production systems, ensuring reliability and performance, while automating processes and responding to incidents.

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.

The Senior Systems Administrator/Engineer designs, implements, and maintains Linux infrastructure while employing DevOps practices and ensuring operational excellence using AI and automation tools.

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

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.

Deploy and configure Peregrine in complex federal environments: run technical discovery with stakeholders, design data and platform solutions, build ETL/data models and integrations, lead pilots and implementations, produce demos and reusable playbooks, support product/security adaptation, and assist capture and procurement for federal deals.

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.

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.

The Principal Engineer will lead technical initiatives in AI-driven tax software, mentor engineers, enforce technical standards, and contribute to architectural design and product innovation.

Serve as a senior software engineering subject matter expert guiding architecture, modernization, and engineering culture for mission-critical federal applications. Provide technical direction, set coding standards, mentor teams, advise on DevSecOps/Agile delivery, identify risks and technical debt, and align delivery with SLAs, release schedules, quality metrics, and customer priorities in a classified federal environment.

Design, develop, test, secure, integrate, and maintain enterprise applications; support CI/CD pipelines and DevSecOps practices; perform code reviews, troubleshoot production issues, integrate APIs, and collaborate with stakeholders in a classified or sensitive federal IT environment.

Design, deploy, and optimize Azure cloud infrastructure using IaC and automation. Build CI/CD pipelines, enforce security and FedRAMP/NIST/DoD compliance, monitor and tune systems, support hybrid migrations, script automation, and collaborate with stakeholders including government teams.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Lead design and scaling of content ingestion, metadata, and processing systems. Build reliable pipelines handling messy formats, collaborate with ML, security, and product teams, mentor engineers, and drive platform and AI/LLM integration for content workflows and quality.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

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.