Top Remote Python Jobs in Washington, DC

Leads and develops a 5–10-person software engineering team, sets technical strategy, guides architecture and API design, and partners with product, design, data science, and business stakeholders. Owns product delivery, reliability, observability, incident response, security, automation, testing, continuous delivery, and operational health while hiring talent and fostering an inclusive, high-performing team culture.

Leads end-to-end healthcare integrations between the company’s platform and hospital EHRs, including architecture, interface development, data mapping, validation, testing, go-live, monitoring, and production support. Advises senior health system stakeholders, troubleshoots HL7 and FHIR interoperability issues, improves integration automation, manages incidents, and influences platform strategy. Requires deep HL7v2, interface engine, database extraction, FHIR, SQL, security, and healthcare interoperability expertise, plus strong client communication.

Define architecture and technical direction for Catalyst’s distributed data platform, including messaging, state management, reconciliation, streaming, storage, CI/CD, and Kubernetes operations. Build Go and Python frameworks, improve reliability and SLOs, lead incident response, maintain secure dependency and artifact delivery, and develop infrastructure automation. Collaborate across teams and with customers, review designs and code, establish engineering standards, and travel internationally up to 25% to support mission-critical deployments.

Leads and mentors Field Engineers responsible for secure software integrations and deployments into customer-owned, hybrid, tactical-edge, and disconnected environments. Provides technical direction on deployment architecture, automation, tooling, networking, infrastructure, monitoring, and operational reliability. Oversees readiness, documentation, compliance alignment, customer deployments, demonstrations, mission events, and post-deployment improvements while partnering across Engineering, Product, Security, and Mission Operations.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Design, develop, and maintain scalable web and backend applications, public REST APIs, automated testing frameworks, and cloud-native services. Improve scalability, stability, monitoring, auto-scaling, CI/CD, security, and reliability. Conduct code reviews, troubleshoot production issues, document root causes and operational procedures, and collaborate with distributed engineering teams to deliver fleet-management platforms.

Designs and delivers secure, scalable cloud solutions across AWS and Azure for application, data, scientific, and research workloads. Partners with customers to translate requirements into architectures, develops Terraform infrastructure and automation, integrates DevOps and CI/CD capabilities, and manages solutions through implementation and transition to operations. Responsibilities include cloud networking, identity, security, monitoring, backup and recovery, troubleshooting, documentation, technical reviews, and collaboration within an Agile Cloud DevOps team.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

Lead the architectural vision for cloud-based platform solutions, including scalable AWS infrastructure, integration flows, APIs, IAM governance, networking, observability, and CI/CD pipelines. Design secure, highly available platforms connecting RPA processes, enterprise applications, internal services, and downstream systems. Provide technical leadership, stakeholder management, architecture documentation, mentoring, and engineering best practices while supporting enterprise DevOps, platform engineering, and integration initiatives.

Provides mainframe patch-management expertise using SMP/E and z/OSMF. Responsibilities include CVE reporting, patch automation, response modeling, validation cadence, package stability reviews, dashboard improvements, baseline dataset development, vulnerability-tool integration, and secure patch deployment. The role also develops AI-driven prompts and automation for testing, RFB validation, and impact analysis while supporting z/OS and ISV software installation, maintenance, customization, and testing.

Validate and implement AI fencing controls across z/OS environments through adversarial testing, monitoring, alerting, forensic analysis, and sanitized validation. Design disruptive AI testing labs, test non-privileged user operations, support secure AI adoption, and assess GenieZ production readiness. Requires deep z/OS internals expertise, catalog management, USS security, software installation, complex troubleshooting, advanced testing, REXX, Python, and 10+ years of experience.

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Designs and governs scalable, secure, cost-effective Google Cloud solutions across enterprise IT environments. Leads cloud adoption, develops standards and roadmaps, integrates GCP with on-premise and third-party platforms, applies AI and automation, supports high-priority troubleshooting, manages vendors, and communicates architecture decisions to technical and executive stakeholders. Provides training and ensures compliance with enterprise security and technology standards.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Build full‑stack web features from zero to one, integrate with third‑party APIs, design and manage state machines for financial workflows, own features through launch and post‑launch customer iteration, and maintain high code quality and accountability.

Technical lead for public-facing gRPC APIs and SDKs powering provider search, ranking, and dynamic copay lookups. Own API design, versioning, ranking/steerage logic, and reliability at scale. Write and review code and designs, mentor engineers, drive technical direction, partner with product and partner engineering, and support production operations and scaling decisions.

Lead end-to-end delivery of 2-3 large SaaS customer implementations, triage cross-functional issues, build repeatable tooling and processes, mentor teammates, and feed implementation learnings into Product and Engineering while advancing AI-enabled workflows.

Lead and grow a DevOps team responsible for AWS/Azure infrastructure, CI/CD, reliability, observability, incident response, and FinOps. Set technical direction for IaC, pipelines, and service management while partnering with Product, Engineering, and Security and participating in on-call rotation.

Design, build, and maintain cross-platform mobile applications and end-to-end web features. Implement front-end interfaces, back-end services and RESTful APIs, optimize databases, write tests and documentation, perform code reviews, and collaborate with UX, QA, and DevOps to deliver high-quality, secure, and performant solutions.

Own architecture, development, and reliability of ecommerce web applications (Symfony storefront and Laravel back-office). Lead front-end JavaScript/CSS direction, optimize SQL schemas/queries, improve observability and incident response, reduce legacy technical debt, establish AI-assisted development workflows, mentor engineers, and drive end-to-end delivery of scalable customer-facing features.

Build and ship full‑stack product features on a Python/Flask backend and React frontend. Design REST/GraphQL APIs, work with SQLAlchemy and relational data models, integrate LLM/AI features, use async task queues (Celery), and collaborate with product, design, and engineers to deliver reliable, well-tested features end-to-end.

The Lead Technology Engineer will lead IT systems implementation, ensure network security, manage integrations, and enhance operational efficiency through automation.

Design, build, and architect stablecoin and crypto infrastructure; integrate DEXs, DeFi protocols, and wallet providers; develop smart contract interactions; expand crypto product functionality and asset selection; collaborate cross-functionally; establish crypto development standards and ensure security and reliability for large-scale user experiences.