Top Remote Python Jobs in Washington, DC

Lead architecture and development of secure, compliant financial systems (payments, billing, ledgers). Drive bank and processor integrations, ensure transaction integrity and observability, lead incident response, mentor senior engineers, and evaluate payment and AI technologies to improve customer and operational outcomes.

Develop distributed, production-grade microservice systems and scalable data-processing infrastructure on Linux. Lead service mesh, contract-first API, gRPC, and Protocol Buffers initiatives; design fault-tolerant architectures and observability systems; operate containerized distributed platforms; and mentor junior and mid-level engineers. The role also emphasizes AI-assisted development, technical communication, and documentation, with preferred experience in industrial automation, monorepos, real-time processing, edge computing, and infrastructure as code.

Operate and scale PostHog’s large ClickHouse clusters, including provisioning, infrastructure automation, node and instance performance optimization, hardware evaluation, and query performance tooling. Build systems using Terraform, Ansible, Kubernetes, Python, AWS, and ZooKeeper to manage more than 100 PB of data and support trillions of annual events.

Administer AWS, Azure, Microsoft 365, and Entra ID environments end to end. Manage cloud infrastructure, networking, virtual machines, identity, endpoints, automation, Terraform-based infrastructure, monitoring, security hardening, vulnerability remediation, compliance evidence, and AI platform administration. Build resilient and governed environments, automate operational workflows, maintain documentation, support incident response, and partner with engineering, security, and operations. The role requires US citizenship and work within the United States.

Owns end-to-end administration of AWS, Azure, Microsoft 365, and Entra ID environments. Responsibilities include cloud infrastructure, networking, identity, endpoint management, Terraform-based infrastructure as code, automation, monitoring, security hardening, vulnerability remediation, compliance, AI platform administration, and audit-ready documentation. The role partners with engineering, security, and operations to deliver stable, secure, scalable, and well-documented services in a defense-sector compliance environment.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

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.

Build and scale backend APIs, services, event-driven workflows, queues, data models, caching, and integrations serving millions of users. Lead complex technical initiatives from discovery through production, improve reliability and performance, debug cross-system issues, and optimize databases and infrastructure interactions. Partner across Product, Design, Infrastructure, Platform, Data, and Support while mentoring engineers, influencing technical decisions, and raising engineering quality standards.

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.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Develop and maintain scalable full stack web applications across frontend, backend, APIs, databases, cloud infrastructure, and security. Responsibilities include system design, microservices development, testing, debugging, performance optimization, CI/CD support, production releases, code reviews, cross-functional collaboration, and mentoring junior developers. The role requires ownership of complex features and technical contributions to architecture and engineering practices.

Design, develop, test, and maintain scalable Python applications, backend services, REST APIs, microservices, and integrations. Work with databases, asynchronous processing, cloud platforms, containers, CI/CD, security, observability, and distributed systems. Troubleshoot production issues, optimize performance, create automated tests, participate in code reviews and architecture decisions, and collaborate with product, DevOps, QA, and engineering teams.

Design, develop, test, and maintain scalable full-stack web applications, backend services, APIs, microservices, databases, and cloud deployments. Responsibilities include architecture and system design, application security, troubleshooting, performance optimization, CI/CD support, code reviews, production releases, cross-functional collaboration, and mentoring junior developers. The role requires ownership of complex features across frontend, backend, database, and infrastructure layers.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Own and scale Adobe Experience Platform and Real-Time CDP implementations. Design data collection architecture using Web SDK, Edge Network, and datastreams; govern XDM schemas, identity, datasets, and data quality. Develop tagging, CJA connections and views, audience activation, privacy frameworks, and event-driven data layers. Troubleshoot ingestion and identity issues, integrate Adobe ecosystem tools and downstream systems, and collaborate with stakeholders on scalable technical solutions, governance, documentation, and enablement.

Develop, modify, and execute software test plans; analyze test results; document findings; recommend corrective actions; and collaborate with software, hardware, firmware, product marketing, and engineering teams to deliver features through general availability. The role also contributes to system design and establishes quality practices throughout the product lifecycle.

Lead architecture, design, and implementation of a cloud-native, event-driven TFDM platform using Kafka and streaming technologies. Drive AI-assisted development, containerization, IaC, CI/CD, and production reliability. Provide hands-on development, mentoring, troubleshooting, executive briefings, and oversight across integrations, security, testing, and deployments.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Develops and maintains GIS solutions supporting the U.S. Coast Guard, integrating geospatial data, ArcGIS systems, web services, and enterprise platforms. Translates operational needs into technical requirements, designs and implements software, troubleshoots production issues, performs system integration, evaluates tools, and supports documentation. The role collaborates with project teams, government stakeholders, end users, developers, and geospatial professionals, while occasionally leading development projects and directing team members.

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.

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.