Top Remote Python Jobs in Washington, DC

Design and build automated API onboarding, lifecycle management, deployment automation, and developer self-service. Implement REST APIs, infrastructure-as-code, CI/CD pipelines, and Git-based workflows. Integrate developer portals, API publishing/governance, and enterprise integration for a federal contractor environment.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

Design and implement scalable, secure cloud-native microservices and data platforms. Collaborate with product and stakeholders, mentor junior engineers, build CI/CD pipelines, and translate business needs into developer-ready stories.

Customize and configure ServiceNow applications and workflows, manage releases and environments, analyze system interactions, gather and document requirements, develop integrations and import data, troubleshoot issues, and maintain processes, standards, and tools to support Service Transformation and IT operations.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Design, implement, and support web-based, AI-driven products in a microservice architecture. Collaborate with cross-functional teams to build performant, accessible front- and back-end components, translate business needs into technical solutions, and participate in UI/UX design and continuous learning.

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Build end-to-end product features and intuitive interfaces/APIs for document and workflow management. Lead design and implementation, collaborate with engineering to ship polished products, monitor success, and optimize frontend performance.

Lead platform reliability: define SLOs/error budgets, own observability and deploy pipelines, harden integrations with dental systems, operate LLM-driven workflows safely, build incident practices, and raise engineering reliability across the company.

Lead the on-vehicle autonomy team to design, build, integrate, and field autonomy software for autonomous surface vessels. Own navigation, planning, control, behaviors, safety logic, and autonomy execution; drive architecture, testing, simulation, HIL, field deployments, and cross-functional integration while mentoring engineers and ensuring mission-ready, maintainable autonomy systems.

Lead and own AWS infrastructure for an LLM-powered enterprise coaching product. Design scalable IaC (Terraform, Ansible), CI/CD, autoscaling, networking and security (SIEM, EDR/XDR). Optimize costs, ensure high availability, collaborate with application and AI teams, and implement enterprise-grade security and compliance for Fortune 500 deployments.

Plan, forecast, and optimize hardware capacity for storage, compute, and network. Build predictive models and automated forecasting pipelines, monitor cluster performance, align cross-functionally with engineering, operations, and finance, and support procurement and deployment decisions to ensure scalable, cost-efficient platform reliability.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

The Mission Engineer positions involves system modeling, software integration, data modeling, link analysis, and operations triage of wireless communication systems.

The role involves developing and verifying SoCs, creating test plans, debugging, and collaborating with various experts to ensure competitive solutions.

Lead implementation of software safety programs for underwater robotic/autonomous vehicles per MIL-STD-882. Produce safety plans and assessments, perform hazard analyses, track coverage metrics, catalog safety artifacts, review software independently, and present findings at reviews and customer meetings. Coordinate across programs and support demanding schedules with occasional travel.

Build and maintain intuitive frontend web applications for data upload, search, visualization, and interactive 2D/3D geospatial tools. Collaborate with scientists to design complex visualizations, modernize the frontend stack, mentor junior developers, and implement automated UI testing and deployment pipelines.

The role involves building decision science libraries and tools for mineral exploration, collaborating with teams to improve decision-making processes.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Lead verification of custom ASIC/SoC from block to full-chip: develop verification plans, build SystemVerilog/UVM testbenches, run constrained-random and directed tests, use SVA and formal methods, manage regressions and CI, drive coverage closure, support post-silicon bring-up, and influence DV methodology across cross-functional teams.

Design, implement, and maintain Plume's core blockchain node and validator software; develop scalable, secure protocol features across the full crypto/DeFi stack; tackle distributed-systems and networking challenges; integrate backend services and on-chain UX; and iterate on protocol design to improve performance and reliability.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.