Top Remote Python Jobs in Washington, DC

Join the AI team at Speechify to develop data collection processes, enhance cloud infrastructure, and collaborate on data strategies for next-gen models.

The Cloud Systems Architect will design and support cloud infrastructures including AWS and Azure, ensuring security and managing resources while collaborating with IT Security.

Design, implement, and operate stateful backend services emphasizing explicit state machines, exactly-once processing, idempotency, outbox-based reliable side effects, concurrency correctness, observability, and AI-assisted engineering. Lead architecture reviews, mentor engineers, and collaborate with platform, data, and QA teams to ensure deterministic, auditable, and resilient lifecycle management and recovery.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design production-style DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response. Develop reproducible reference solutions with setup and validation instructions, evaluate AI-generated outputs, identify failures, provide precise corrections, and maintain high standards for correctness. Share structured feedback to improve future task design. The contract role requires at least 20 hours weekly and professional English proficiency.

Build and review full-stack software environments for AI training. Develop frontend and backend features, integrate APIs, debug issues across UI and data layers, improve code quality, document technical reasoning, and review peer submissions. The role requires frontend and backend development experience with frameworks such as React or Angular and stacks including Node.js, Python, Java, or Go. Prior AI experience is not required.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Lead QA for backend and distributed systems: design test strategies, automate API and backend tests, validate databases and message-driven workflows, test high-concurrency and fault-tolerant scenarios, integrate CI/CD, monitor production, debug incidents, and drive QA best practices and AI-assisted testing improvements.

Work on real-world web applications across frontend and backend. Use modern frontend frameworks (React/Angular/Vue) and backend tech (Node.js, Python, Java, PHP). Integrate RESTful APIs with databases (MongoDB, PostgreSQL, MySQL), debug, test, optimize performance, and collaborate with designers and product teams while gaining hands-on mentorship.

Leads enterprise cloud infrastructure architecture and strategy across Azure, AWS, GCP, and hybrid environments. Establishes standards for security, reliability, observability, disaster recovery, identity governance, automation, and cost optimization. Drives cloud modernization, migrations, SaaS and AI integrations, and Infrastructure as Code practices. Acts as a principal technical authority, conducting design reviews, resolving complex cross-platform challenges, mentoring engineers, evaluating technologies, and aligning business and security requirements with scalable solutions.

Designs and manages scalable GCP platforms for enterprise applications including Netcracker, Alepo, and Axiros. Responsibilities include developing Terraform infrastructure, CI/CD pipelines, upgrade automation, internal developer platforms, incident management, root cause analysis, performance optimization, rightsizing, and security guardrails. The role supports cross-functional engineering teams and participates in on-call rotations to maintain high service availability.

Leads DevOps and application operations for critical enterprise applications. Responsibilities include production reliability, SLO and SLA management, incident response, release and deployment operations, observability, automation, capacity planning, disaster recovery, security compliance, performance optimization, stakeholder service reviews, and mentoring AppOps engineers. The role supports 24x7 reliability through on-call participation and cross-functional collaboration with engineering, cloud, security, and compliance teams.

Own operational excellence for cloud infrastructure: run incident management, improve reliability through automation, own a platform domain (e.g., Kubernetes, Temporal, observability), manage vendor and cost relationships, and deliver measurable reductions in incidents and costs within 12 months.

Leads and develops a 5–10-person software engineering team, sets technical strategy, guides architecture and API design, and partners with product, design, data science, and business stakeholders. Owns product delivery, reliability, observability, incident response, security, automation, testing, continuous delivery, and operational health while hiring talent and fostering an inclusive, high-performing team culture.

Leads end-to-end healthcare integrations between the company’s platform and hospital EHRs, including architecture, interface development, data mapping, validation, testing, go-live, monitoring, and production support. Advises senior health system stakeholders, troubleshoots HL7 and FHIR interoperability issues, improves integration automation, manages incidents, and influences platform strategy. Requires deep HL7v2, interface engine, database extraction, FHIR, SQL, security, and healthcare interoperability expertise, plus strong client communication.

Define architecture and technical direction for Catalyst’s distributed data platform, including messaging, state management, reconciliation, streaming, storage, CI/CD, and Kubernetes operations. Build Go and Python frameworks, improve reliability and SLOs, lead incident response, maintain secure dependency and artifact delivery, and develop infrastructure automation. Collaborate across teams and with customers, review designs and code, establish engineering standards, and travel internationally up to 25% to support mission-critical deployments.

Lead technical discovery with federal customers to define requirements and design secure, compliant cloud-native architectures. Build POCs/MVPs, produce architecture and deployment documentation, integrate third-party tools, guide implementations, and align sales, engineering, and product teams to deliver AI-driven knowledge management solutions for government environments.

Design, develop, enhance, and maintain enterprise geospatial applications, web-based GIS interfaces, dashboards, workflows, and APIs; support ArcGIS Enterprise/Server, integrations, testing, deployment, performance tuning, documentation, cybersecurity, and user support within a federal environment.

Lead design, development, enhancement, and maintenance of enterprise geospatial applications and APIs. Implement ArcGIS Enterprise solutions, web GIS apps, dashboards, integrations, and ensure compliance with federal IT, cybersecurity, and privacy requirements while guiding development teams and supporting testing, deployment, and O&M.

Leads and mentors Field Engineers responsible for secure software integrations and deployments into customer-owned, hybrid, tactical-edge, and disconnected environments. Provides technical direction on deployment architecture, automation, tooling, networking, infrastructure, monitoring, and operational reliability. Oversees readiness, documentation, compliance alignment, customer deployments, demonstrations, mission events, and post-deployment improvements while partnering across Engineering, Product, Security, and Mission Operations.

Design, develop, and operate monitoring and observability solutions for flagship supercomputers. Build data pipelines to process large telemetry and logs, respond to incidents, implement mitigations, write postmortems, and improve reliability, performance, and operational runbooks at scale.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.