Top Remote Python Jobs in Washington, DC

Design, simulate, verify, and validate analog, digital, power, mixed-signal, or RF circuits for an AI training project. Translate requirements into schematics, netlists, HDL, models, and simulation inputs; automate workflows with Python; analyze electrical results; perform corner and Monte Carlo analyses; compare simulations with physical measurements; troubleshoot hardware and review AI-generated circuit solutions. Requires real fabricated or shipped circuit-design experience and command-line or programmatic EDA expertise.

Build and maintain AI-assisted full-stack platforms for manufacturing, spanning AWS infrastructure, Python Lambda services, Java microservices, agentic LLM workflows, and Angular interfaces. Develop event-driven architectures, APIs, retrieval and scoring systems, infrastructure as code, observability, CI/CD, and secure deployment strategies. Apply rigorous testing, specification-driven development, concurrency practices, and production reliability techniques across multi-repository systems. The role requires hands-on software development experience with enterprise server, storage, or networking products.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.

Build and govern reliable, scalable production infrastructure across cloud environments. Responsibilities include DevOps guardrails, CI/CD, Terraform-based infrastructure, deployment strategies, developer platforms, observability, SLOs, incident response, capacity planning, automation, chaos engineering, and cloud optimization. The role partners with engineering teams to improve resilience and supports .NET services across Windows and Linux.

Build shared automation frameworks, developer tools, and quality engineering platforms. Develop API, application, platform, AI, and security testing; integrate quality checks into CI/CD; investigate failures; evaluate AI-assisted testing; and mentor teams while driving adoption of reusable testing practices.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.

Design and scale production-grade asynchronous backend systems in Python, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Build schemas and migrations, optimize relational databases, instrument services, and own CI/CD from testing through deployment. Establish AI governance around code review, provenance, licensing, security, compliance, and customer data. Drive architecture and product ideas from conception through production.

Leads QA strategy and test architecture for Kubernetes, cloud-native, distributed, and multi-cloud systems. Designs scalable automation, production-like test scenarios, chaos and performance testing, CI/CD quality gates, and infrastructure-as-code. Provides technical leadership through risk analysis, release readiness assessments, incident retrospectives, architecture reviews, and mentorship. Requires deep Kubernetes, Linux, cloud, automation, observability, security, and troubleshooting expertise.

Support Netflix live streaming events by improving cloud traffic capacity, scalability, observability, and reliability. Design and execute load, performance, resilience, fault-injection, and functional tests; analyze results; develop capacity plans; debug complex distributed systems; and collaborate across teams during event planning and launches. Participate in on-call rotations and support flexible event-based schedules.

Develop and execute Hardware-in-the-Loop tests for an integrated autonomous transit system. Responsibilities include creating automated regression tests, analyzing logs and telemetry, troubleshooting embedded controllers and networks, tracking defects, improving simulators and test infrastructure, preparing readiness evidence, and collaborating with software, autonomy, vehicle, safety, quality, and deployment teams. The role involves hands-on lab, vehicle, and test-facility work with some travel or on-site presence.

Build and operate the backend platform for autonomous cybersecurity agents, including durable workflow execution, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, audit trails, and distributed systems. Partner with AI researchers and security engineers to productionize agent capabilities across customer environments while enforcing authorization, rollback, quotas, and data protection.

Owns business application engineering solutions from discovery through production support. Responsibilities include building Workato integrations, AWS middleware, Jira and Confluence workflows, secure automations, API and event-driven integrations, monitoring, documentation, and governance. The role also serves as a technical escalation point, mentors administrators, partners with business and AI teams, and applies least-privilege access and auditable data practices.

Build and operate a multi-tenant platform encompassing Kubernetes infrastructure, infrastructure-as-code, shared CI/CD pipelines, security and compliance controls, observability, identity, networking, and cost visibility. Establish reusable platform standards, enforce software supply-chain security, support AI development environments, and drive adoption across product teams. Provide technical leadership through architecture decisions, proof of concepts, code reviews, documentation, and migration support.

Leads platform architecture and hands-on infrastructure engineering across multi-tenant Kubernetes, infrastructure as code, CI/CD, cloud identity, security compliance, observability, and AI development environments. Designs scalable runtime, networking, identity, policy, and delivery systems while enforcing isolation and auditability. Owns strategic architecture decisions, reliability and security evidence, developer outcomes, and technical mentorship.

Leads the strategy, architecture, and operation of Demandbase’s internal developer platform and cloud infrastructure. Responsibilities include Kubernetes platform management across AWS and GCP, CI/CD and GitOps, infrastructure as code, service mesh, observability, FinOps, security, incident response, and AI-assisted development workflows. The role sets organization-wide technical standards, authors architecture guidance, leads major incidents and postmortems, and mentors senior engineers across teams.

Build and own studio-wide systems that improve software quality, testing, performance, developer velocity, and infrastructure reliability. Responsibilities include functional test automation, load and chaos testing, regression analysis, device compatibility labs, build and GPU clusters, CI infrastructure, disaster recovery exercises, developer tooling, quality metrics, and technical leadership across distributed engineering teams.

Leads test engineering strategy for complex software projects, designing comprehensive test plans, executing manual and automated testing, and improving automation coverage. Develops test scripts, manages defects, analyzes quality metrics, integrates testing into CI/CD pipelines, and drives process improvements. Collaborates with engineering, product, and business teams while reviewing test strategies and cases. Mentors test engineers and establishes testing policies, standards, and best practices across multiple teams.

Design, develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product partners, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security, observability, and continuous improvement. Use approved AI-assisted development tools responsibly across coding, testing, debugging, analysis, and documentation while ensuring software quality, security, performance, and maintainability.

Design, develop, troubleshoot, and support secure, high-volume software applications in an Agile environment. Provide technical leadership across the software development lifecycle, lead code and design reviews, establish automated testing, monitor production systems, and improve quality practices. Collaborate with architects, product partners, customers, and engineers while mentoring team members. Build and maintain AI-enabled components responsibly, applying security, privacy, governance, observability, and compliance standards.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Provides principal-level technical leadership for scalable learning and skilling platforms. Designs architectures, writes and reviews production software, leads full software lifecycles, and applies Azure, AI, Copilot, Power Platform, and custom solutions. Responsibilities include secure integrations, CI/CD, infrastructure as code, testing, observability, production support, Responsible AI, reusable components, cross-team technical alignment, and engineering mentorship.

Develops and deploys AI-enabled IT automation across infrastructure, cloud, endpoints, applications, and operational workflows. Automates provisioning, patching, compliance, monitoring, remediation, deployments, asset management, financial processes, and cloud optimization using Python, APIs, infrastructure as code, AIOps, LLMs, and agent-based frameworks. The role also supports DevOps, creates documentation and runbooks, partners with security and operational teams, mentors colleagues, and drives enterprise-wide process improvement. This remote position requires 25% travel.

Build and maintain integrations, automations, scripts, and applications connecting RMM, monitoring, backup, and ITSM platforms. Own Jira Service Management configuration, alert lifecycle tuning, tooling standards, customer rollouts, troubleshooting, reporting, and documentation. Lead build-versus-buy evaluations and serve as the senior escalation point for tooling failures. The role requires AI-assisted development, API integration expertise, scripting, ITIL-aligned change management, and customer-facing communication.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.