Top Remote Python Jobs in Washington, DC

Build and maintain Python automations and multi-system integrations for 401(k) administration. Responsibilities include developing API and webhook integrations, managing production jobs, troubleshooting errors, refactoring legacy code, deploying projects, improving logging and code quality, documenting processes, and collaborating with business users, vendors, and IT. The role requires ownership of automation projects from discovery through production and focuses on resilient, scalable workflow improvements.

Owns end-to-end technical architecture across Rails, Python machine-learning services, agent infrastructure, and data platforms. Leads scalability, reliability, cost optimization, model infrastructure, architectural reviews, technical roadmap decisions, incident response, code reviews, and engineering mentorship. The role remains hands-on, requiring production coding and expertise in computer vision, LLM systems, cloud infrastructure, databases, background jobs, Kubernetes, and DevOps practices.

Leads customer-facing solution architecture and engineering enablement for secure, cloud-native government delivery projects. Responsibilities include advising customers, mentoring engineers, managing proof-of-concept initiatives, designing systems, building CI/CD pipelines, deploying and troubleshooting Kubernetes-based packages, and improving team processes. The role also supports demonstrations, technical content, market research, and growth initiatives while collaborating across technical and business teams.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Customer-facing engineer who builds demos, prototypes, and workshops to drive pre-sales and adoption of Motorq's connected-vehicle and AI capabilities; partners with sales, customer success, and product teams and travels regularly to customer sites.

Lead and mentor a product engineering team while remaining hands-on with coding, code reviews, architecture, and technical direction. Partner with product and cross-functional teams to deliver the roadmap, improve engineering quality, and build a culture of ownership. Requires strong software engineering experience, people leadership, React, TypeScript, Python, startup experience, customer-facing product experience, and regular coding. The role is remote in the US or Canada with occasional customer visits.

Manage and mentor a backend engineering team while remaining hands-on with technical design and problem solving. Set backend architecture, service strategy, roadmaps, and engineering standards for scalable, secure systems. Partner with product, data, infrastructure, and frontend teams to deliver reliable customer-facing software, deploy models, improve platform tooling, and support incident response. Recruit engineers, guide team development, and foster ownership and continuous improvement.

Lead customer implementations from discovery through deployment and support. Design and develop production software integrations, make architecture decisions, facilitate executive working sessions, and resolve implementation issues independently. Build reusable components, collaborate with product teams, and deliver customer-facing solutions involving data pipelines and machine learning workflows. The role requires strong Python, TypeScript, cloud, communication, and healthcare or life sciences experience, with 10–15% client travel.

Lead internal developer platform design, CI/CD standardization, AWS FinOps, and production Kubernetes operations. Manage EKS, Kafka/MSK, observability, incident response, infrastructure as code, cloud security, compliance, backup and recovery, and secure software development practices. Advise engineering teams on architecture and technical debt, apply AI to operational automation, improve reliability metrics, and mentor developers adopting internal tooling.

Designs and operates mission-critical stateful backend services for real-time decisioning and personalization. Responsibilities include state-machine architecture, transactional state management, idempotent and exactly-once processing, outbox-based event delivery, concurrency control, observability, auditability, and failure recovery. The engineer will use AI-assisted development tools, collaborate across engineering teams, participate in architecture reviews, and mentor other engineers. The role requires hybrid work near specified metropolitan areas with occasional office travel.

Designs and executes manual and automated testing across applications, APIs, databases, data platforms, and integrated systems. Builds QA automation frameworks, validates data quality, manages test environments, supports CI/CD test integration, tracks defects, and performs root cause analysis. Collaborates with Agile engineering teams on sprint planning, releases, and process improvements while testing healthcare technology platforms and regulated workflows.

Architects, deploys, and enhances secure, scalable Azure cloud environments using Terraform and infrastructure as code. Leads Azure landing zone architecture, governance, automation, CI/CD integration, self-service enablement, cloud optimization, and compliance with healthcare security standards. Supports cloud operations, troubleshooting, on-call availability, and team training, including GitHub Copilot and Azure MCP Server adoption.

Serve as the technical anchor for a cross-functional engineering squad building healthcare data platforms. Design and maintain Java Spring Boot, React, and Python data-processing applications; guide architecture, code quality, estimation, releases, integrations, and issue resolution. Build reliable data delivery pipelines, mentor peers, support Agile execution, and promote responsible AI-assisted development using tools such as GitHub Copilot.

Manage and improve CI/CD pipelines, containerized deployments, AWS infrastructure, Terraform resources, monitoring, and incident response for the SportsRecruits platform. Troubleshoot application, database, and distributed-system performance issues; maintain development and QA environments; collaborate with engineering, QA, product, and security teams; and implement automation, observability, scalability, and AI-assisted monitoring improvements.

Build and operate backend platform services for query execution, journey orchestration, data transformation, and export delivery. Design APIs and integrations with cloud data warehouses, improve reliability and observability, support real-time capabilities, participate in on-call, resolve customer and production issues, and develop automation and shared components. Mentor engineers and help build AI-powered products.

Design, develop, optimize, and maintain core game engine systems using modern C++. Collaborate with external programmers, evaluate technologies, improve runtime performance, and resolve crashes and bottlenecks across PC and console platforms. The role requires commercial game development experience, strong computer science fundamentals, multithreading expertise, and GPU/CPU profiling knowledge. This is an engine programming position rather than gameplay engineering.

Lead the technical architecture and implementation of scalable GTM systems, Salesforce solutions, integrations, AI-powered workflows, data models, and scoring frameworks. Build advanced Salesforce applications using Apex, Flow, APIs, and custom objects; manage Workato and Zapier integrations; prototype with AI development tools; translate executive goals into technical designs; and mentor GTM engineers and administrators on development, testing, documentation, and deployment best practices.

Develop and integrate software, algorithms, and data-processing pipelines for remote sensing, SAR, RF, radar, and geospatial systems. Responsibilities include architecture, backend and API development, workflow orchestration, sensor-data analysis, system integration, testing, optimization, deployment, and technical documentation. Collaborate across software, systems, data science, and intelligence disciplines while providing technical leadership on complex projects.

Design and implement cloud infrastructure and MLOps solutions for AI and ML customers. Serve as a trusted technical advisor through proof-of-concepts, workshops, presentations, and training. Develop infrastructure-as-code architectures, optimize GPU cloud pipeline performance and scalability, document technical solutions, and collaborate with support, product, and marketing teams.

Designs and delivers integrated cloud, AI, and GPU infrastructure solutions for strategic technology partners. Responsibilities include architecting integrations, building production-grade reference implementations, defining networking and security patterns, enabling partner engineering teams, supporting customer deployments, troubleshooting complex environments, and translating partner feedback into product roadmap requirements. The role requires deep Kubernetes, Terraform, Python, AI inference, integration architecture, and cloud infrastructure expertise.

Own end-to-end quality across UI, APIs, data pipelines, analytics, and AI/model layers. Build automated regression suites, validate data transformations and risk-model outputs, integrate tests into CI/CD, manage test environments, support performance and security testing, coordinate release sign-off, and maintain audit-defensible evidence. The role also involves exploratory testing, defect management, test planning, and collaboration with Product and Engineering to establish testable requirements and improve quality practices.

Build and scale a fintech platform across accounting, tax, and banking. Own feature lifecycle from design to deployment, write backend and frontend code, improve infrastructure and reliability, and collaborate with product and design to deliver customer-focused features.

Build and enhance a real-time LLM-powered healthcare platform across the stack. Develop features including onboarding, note customization, and in-the-moment clinical insights. Collaborate with product, design, clinical experts, and go-to-market teams to deliver scalable AI-first applications. Work directly with healthcare providers and contribute to robust engineering practices in a fast-paced startup environment.

Own and scale Drivetrain’s multi-cloud AWS and GCP infrastructure, Kubernetes platforms, CI/CD pipelines, Terraform modules, automation, observability, and security practices. Drive reliability engineering through capacity planning, incident response, postmortems, and SLI/SLO/SLA management. Partner with development teams to improve application deployability, scalability, resilience, and operational efficiency across the SaaS platform.

Develop, test, deploy, and maintain RPA solutions using Microsoft Power Automate Desktop, with emphasis on Finance workflows. Identify automation opportunities, design reusable components, integrate Microsoft and third-party systems, document processes, troubleshoot exceptions, train stakeholders, and support governance, security, and compliance standards.