Top Remote Python Jobs in Washington, DC

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.

Develop and improve core software services supporting customer intake, application screening, and information dissemination. Design distributed, cloud-based, microservice architectures; identify bottlenecks; improve reliability and scalability; and deliver production-ready features. Work across the technology stack, contribute to system design and modernization, mentor junior developers, communicate technical decisions, and use data, AI, and automation to improve engineering outcomes.

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.

Administer AWS and GCP cloud infrastructure, identity and directory services, Microsoft 365, Google Workspace, endpoint management, and security platforms. Handle escalated incidents, participate in on-call rotation, support SOC 2 compliance and vulnerability remediation, and automate operational processes. Collaborate with security and support teams to maintain reliable, secure production environments.

Design, build, and operate scalable backend services for payments, cards, spend management, and compliance. Develop production-quality services and APIs, optimize databases, integrate AI and third-party APIs, and implement secure event-driven architectures. Own features from design through deployment and monitoring, contribute to reliability and CI/CD improvements, participate in on-call rotations, and collaborate with globally distributed engineering, product, compliance, and data teams.

Design, deploy, and manage secure AWS infrastructure using infrastructure as code, CI/CD, containers, automation, and DevSecOps practices. Build and maintain Jenkins and GitHub Actions pipelines, troubleshoot Linux and cloud environments, implement monitoring and alerting, manage databases and data integrations, and enforce federal and industry compliance standards. The role also requires documentation, mentoring, collaboration with cross-functional teams, and responsible use of AI-assisted operational tools.

Remote contract CAD expert role supporting AI training for manufacturing workflows. Responsibilities include reviewing and refining AI-generated manufacturing content, providing CAD, CAM, and CNC process feedback, and developing evaluation rubrics. Candidates need hands-on CAD experience, strong communication skills, and coding-agent experience with Python. Work is flexible at 15–20 hours per week, with output-based compensation and immediate availability preferred.

Own and evolve AWS infrastructure, Terraform-based infrastructure as code, CI/CD pipelines, deployments, observability, cloud security, and SRE practices. Build self-service developer tooling, strengthen software supply-chain security, support SOC2, HIPAA, and ISO 27001 audits, participate in incident response, and document operational practices. The role partners closely with backend engineering, databases, APIs, and security/compliance teams while mentoring engineers on reliable and secure development.

Own technical evaluations, deployments, and production integrations for major government and enterprise customers. Build Python, SQL, agents, tools, and REST integrations within customer environments; lead proofs of concept, deployments, executive briefings, and technical account relationships. Triage bespoke versus reusable capabilities, influence the product roadmap, and review other engineers’ work. The role requires strong cloud, containerization, data, communication, and ambiguous problem-solving skills.

The Senior Software Engineer will design and implement systems for AI integration, build scalable backend services, and mentor team members, ensuring high-quality systems that meet user needs.

Design and maintain scalable full-stack software solutions using Python and Pandas. Develop data infrastructure, integrate technologies, optimize application performance, and collaborate cross-functionally to deliver reliable products. The role requires strong AWS and scalable architecture expertise, with a focus on continuous improvement and customer impact.

The Software Engineer will support the Arkalytics platform by troubleshooting production issues, developing software enhancements and automation, investigating AWS application, database, and infrastructure problems, and performing root cause analysis. Responsibilities include improving monitoring, logging, alerting, reliability, and operational tooling; providing Tier 2 and Tier 3 support; participating in on-call rotations, code reviews, documentation, and cross-functional customer issue resolution.

Build and ship end-to-end features for a restaurant operating system, lead architecture and technical execution, define product roadmap with cross-functional teams, and maintain high-quality CI/CD and productionized systems.