Top Remote Python Jobs in Washington, DC

Own the architecture and evolution of Backblaze’s observability platform across multiple data centers. Lead metrics, logging, tracing, dashboards, infrastructure automation, Kubernetes deployments, Ceph monitoring, and network observability. Establish technical standards, capacity strategies, documentation, and operational practices while mentoring engineers and partnering across SRE, storage, network, security, and application teams. Evaluate AIOps and agentic AI solutions to improve incident detection, correlation, and response.

Evaluate AI coding-agent interactions for correctness, usefulness, engineering judgment, explanation quality, and user trust. Provide clear, opinionated written feedback, distinguish response-quality levels, and help define standards for tools such as OpenAI Codex, Claude Code, and Cursor. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, hands-on AI-assisted development experience, excellent English communication, and the ability to assess code without executing or reviewing every line.

Administers and supports Omnissa Workspace ONE, Microsoft Intune, and macOS endpoints while developing ServiceNow and Power BI dashboards, KPIs, and executive reports. Automates reporting and operational workflows using Power Automate, PowerShell, Python, and APIs. Monitors endpoint compliance, system health, and security posture; partners with engineering, security, and operations teams; and documents incidents, resolutions, and change-management activities.

Build and operate full-stack certificate management, security, monitoring, and vulnerability products. Develop TypeScript APIs and React frontends, design MySQL schemas, manage AWS workers and Kubernetes infrastructure, maintain legacy .NET and Python services, integrate partner APIs, improve CI/CD and observability, participate in on-call support, and develop AI-assisted features. The role includes code reviews, testing, incident resolution, technical documentation, and mentoring engineers.

Design, deploy, secure, and maintain scalable AWS infrastructure using Terraform and GitLab CI/CD. Provide application and cloud support, monitor systems, troubleshoot incidents, manage IAM, perform maintenance and backups, improve observability and reliability, and guide cloud architecture and deployment decisions. Collaborate with engineering, security, data, and infrastructure teams while supporting audits, documentation, disaster recovery, and on-call operations.

Owns production infrastructure across Kubernetes, CI/CD, Linux systems, virtual machines, and AI accelerator environments. Responsibilities include incident response, troubleshooting, automation, monitoring, alerting, patching, upgrades, certificate renewals, capacity checks, runbook development, and on-call support. The engineer collaborates across IT and product software teams and contributes to infrastructure design and build work.

Build and deploy data-driven solutions for government customers, including data pipelines, backend services, analytical tools, entity resolution, risk scoring, and AI-assisted features. Lead engagements from discovery through deployment, integrate external data sources, support sensitive and air-gapped environments, validate findings, and translate customer needs into practical technical solutions while collaborating with Product and R&D.

Define and lead quality strategy for company reference data systems. Build automated testing across data pipelines, APIs, events, and end-to-end workflows; establish golden datasets, quality metrics, release gates, and regression coverage. Validate matching accuracy, data lifecycle risks, and production signals. Partner with developers and leaders, apply AI to testing, and coach engineers to improve quality across teams.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

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.