Top Remote Python Jobs in Washington, DC

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

As a Senior Site Reliability Engineer, you will design, develop, and maintain reliable infrastructure for Wikimedia's API services, ensuring performance and availability while driving reliability engineering practices and improving developer experience.

Deploy, upgrade, and maintain High-Speed Data infrastructure supporting DNS, DHCP, DOCSIS provisioning and related platforms. Perform Linux (CentOS/RHEL) administration, scripting/automation (Python, Bash, Ansible, Docker), vendor management, troubleshooting, LLD documentation, project work, training, and on-call support to ensure availability and security of HSD services.

Deploy, upgrade, and maintain High-Speed Data infrastructure (DNS, DHCP, DOCSIS). Administer CentOS/RHEL systems, automate with Python/Ansible/Shell, troubleshoot escalations, create LLDs, run upgrades, train teams, perform on-call duties, and ensure security and high availability.

Lead an engineering product team building account management, portfolio tracking, and wealth management platforms. Provide technical leadership and architecture guidance, manage schedules and vendors, mentor engineers, drive DevOps and observability practices, collaborate with product and stakeholders, and own operational readiness and incident escalation. Hands-on data engineering experience with AWS, Python, Lambda, and Postgres is valued.

The role involves designing, building, and optimizing a data platform, collaborating with cross-functional teams, and ensuring data quality and security.

Design, build, and operate a secure, highly available ClickHouse Cloud platform for regulated and mission-critical environments across cloud, hybrid, and on-prem deployments. Develop Kubernetes-based deployments, Helm charts, operators, automation with Terraform/Ansible/CI-CD, and optimize database performance while ensuring compliance with security frameworks (NIST, FedRAMP, IRAP). Troubleshoot production issues and produce system and compliance documentation.

Lead architecture, implementation, optimization, and support of enterprise virtualization and hyperconverged infrastructure. Design solutions with VMware, Nutanix, and PowerFlex, manage upgrades/migrations, perform capacity planning and DR validation, support hybrid multi-cloud integrations, mentor engineers, lead workshops and executive discussions, and contribute to operational improvement and incident resolution within a 24x7 managed services environment.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Build and maintain AI-powered GTM workflows, Salesforce Agentforce solutions, integrations, and automations across the GTM stack. Partner with Sales, Marketing, CS, and Revenue Operations to design, implement, test, and monitor scalable solutions, data models, scoring, and analytics to improve adoption, efficiency, and business outcomes. Troubleshoot, document, and iterate on platform and integration issues.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Design, build, and maintain a scalable cloud platform using IaC and CI/CD. Lead DevOps/SRE practices, implement monitoring, security and compliance (SOC2/HIPAA/NIST), manage containers, troubleshoot infrastructure, and participate in on-call rotation while driving cross-team delivery.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Lead multiple QA teams to define and execute quality strategy, test planning, automation, and validation. Mentor staff, manage hiring/onboarding, drive cross-functional collaboration, use CI/CD and AI tools to accelerate testing, and ensure product reliability for a high‑transaction healthcare platform.

Design, build, and maintain end-to-end GTM outbound pipeline and CRM integrations (Clay, Outreach/Salesloft, HubSpot). Integrate product usage signals, automate enrichment/scoring, build LLM-driven personalized email generation, ensure data quality, produce runbooks, and partner with Sales/RevOps to operationalize GTM workflows.

Develop and productize SONiC-based NOS and platform software for Nokia switching products (Broadcom/Marvell) for data center and AI fabrics. Implement and debug networking features, protocols, and management interfaces; collaborate with test, product, and customers to ensure quality and requirements are met.

Design, develop and execute automated and manual tests for router/chassis features (SONiC). Develop Python/Pytest test cases, analyze results, debug with SW/HW/Firmware teams, and drive features to GA readiness.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

Design, build, and maintain scalable Azure data pipelines and platforms using Azure Databricks, Synapse, Data Factory, and Microsoft Fabric. Implement IaC (Bicep/ARM/Terraform), CI/CD with Azure DevOps, monitor platform stability, optimize Spark jobs, and collaborate with architects and stakeholders to meet business requirements.

Design, implement, and maintain automated and manual tests across unit, component, integration, and end-to-end levels. Build scalable test frameworks, automate UI and API tests, run performance/load tests, produce test reports, report regressions, and collaborate with agile teams to influence design and ensure product testability and scalability.

Support design and documentation of cloud and on-premises data solutions; translate mission needs into technical requirements; create architecture diagrams and technical materials; research technologies; participate in discovery and design discussions; collaborate with engineers to align implementations; communicate clearly to technical and nontechnical stakeholders while supporting a federal health data modernization mission.