Top Remote Python Jobs in Washington, DC

Designs, deploys, administers, and maintains enterprise SAN storage infrastructure (arrays, SAN switches). Performs provisioning, zoning, masking, replication, performance monitoring, troubleshooting, security remediation, compliance support, vendor coordination, lifecycle management, and provides on-call and onsite support for federal data center operations.

Build and support TimescaleDB Enterprise on‑prem deployment and management platform. Develop frontend tooling (React/TypeScript), backend services (Go), deployment automation (Ansible), and operational PostgreSQL tooling. Write tests across unit to end-to-end, collaborate with cross-functional teams, translate operational requirements into pragmatic product solutions, and iterate on reliability and usability.

Perform calibration, chip-level testing and validation of high-speed photonics/optoelectronic devices (up to 200GHz). Develop and execute test methods, analyze results, optimize performance, design high-speed devices, document procedures, mentor junior staff, and ensure safety and quality compliance.

Design, build, and operate a next-generation CDP/messaging platform at scale. Define infra topology, scaling, blast-radius limits, and safety guardrails for AI agents. Own reliability, capacity, cost, security boundaries, incident leadership, and author self-verifying runbooks and checks so automation can operate safely.

Senior backend-focused engineer to provide technical leadership across backend, APIs, and data pipelines. Collaborate with product, design, and stakeholders, author documentation, and drive engineering best practices on a distributed remote team building scalable energy software.

Design, automate, and maintain datacenter, cloud, and office networks. Develop automation (Ansible, scripts), troubleshoot connectivity, implement security, manage network OSes, participate in 24/7 on-call, and collaborate with engineering teams.

Design, implement, and manage secure, scalable AWS infrastructure using IaC (Terraform/CloudFormation), CI/CD pipelines, container orchestration (Docker/Kubernetes/EKS), cloud security controls, monitoring, and disaster recovery while collaborating with development teams to support reliable application deployments for a VA project.

Build and maintain cloud-native platform infrastructure and Kubernetes clusters, develop IaC and CI/CD pipelines, support IAM and monitoring, manage certificates and container security, participate in on-call incident response, and document runbooks and standards while mentoring junior engineers.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Lead RTL verification for RAIN RFID reader ICs across product lifecycle. Develop verification methodologies, SystemVerilog/UVM testbenches, BFMs, assertions, coverage metrics, CI/CD automation, and constrained-random tests. Collaborate with digital, analog, and silicon teams to ensure tape-out quality and support post-silicon validation and product improvements.

Own and operate the full-stack application surfaces of a live patient-facing product: embeddable React/TypeScript widget, clinician portal, and Python service layer. Advise and make architectural decisions, integrate AI Intake features, ship versioned shared surfaces, keep dependencies current, and mentor junior engineers while partnering closely with AI/ML teammates to coordinate application and model work.

Design, build, and maintain applications, APIs, and services for Magna's Jury Consulting business; partner with stakeholders to translate requirements; contribute to architecture, CI/CD, testing, DevOps, production reliability, and AI-assisted development; mentor engineers and evaluate emerging technologies.

Customer-facing principal-level engineer who architects and implements real-time, production-grade data pipelines and integrations (Java/Python) across multi-cloud environments. Duties include building connectors, optimizing Kubernetes deployments, debugging distributed systems, driving solution architecture from pre-sales through post-sales success, and influencing product roadmap while traveling up to 50%.

Design, build, and run automated test suites (smoke, regression, end-to-end) for web apps using modern frameworks; create and execute test plans; track and verify defects; integrate tests into CI/CD; evaluate AI-powered testing tools; collaborate with engineering and product teams in an agile environment.

Lead end-to-end product engineering for data platform experiences, owning design and delivery of frontend and backend services. Build performant, secure UIs across desktop and web, integrate identity and access workflows, collaborate with cross-functional teams, and ship reliable, accessible, well-tested features.

Lead design and delivery of scalable, secure lending and credit card solutions. Drive cloud-first modernization (Azure/cloud), API and integration strategy, production stability, prototypes, and mentor engineering teams while influencing enterprise architecture and business-aligned technical direction.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Senior technical leader for SRE driving observability, platform infrastructure, SLIs/SLOs, incident response, automation, and self-service platform capabilities. Shapes reliability strategy, mentors engineers, and ensures production-scale operational excellence.

Remote MES Consultant to lead Siemens Opcenter/Camstar implementations for discrete manufacturing. Responsibilities include requirements elicitation, functional design, project task definition and reporting, troubleshooting, release management across DEV/QA/PROD, testing/validation, end-user training, integration with ERP and automation systems, and identifying security/performance risks.

Own delivery and outcomes for enterprise finance accounts: build reusable semantic finance models, integrate ERP/planning/warehouse sources, reconcile data, run customer sessions with finance teams, and convert implementations into product improvements and templates.

Design, build, and maintain UI, API, and regression test automation; integrate tests into CI/CD; collaborate with developers and DevSecOps; perform defect triage and support audit readiness for federal IT modernization programs.

Design, program, integrate, and deploy industrial robotic solutions (palletizing, picking, goods-to-person) for fulfillment and manufacturing. Work includes robot programming, systems integration with conveyors and vision, simulation, commissioning troubleshooting, cycle-time optimization, and cross-disciplinary collaboration.

Design and build scalable full-stack applications, develop front-end and back-end features, implement REST APIs, work with SQL/NoSQL databases and CI/CD pipelines, follow testing and Git workflows, and collaborate with cross-functional teams.

Seeking a Software Engineer responsible for designing and developing scalable software solutions, participating in Agile processes, and collaborating with teams.