Top Remote Python Jobs in Washington, DC

As a GenAI Systems Engineer, you will architect scalable frameworks, optimize distributed systems, and develop APIs, enhancing AI model deployment efficiency.

The Senior Data Engineer will design and implement data architecture and pipelines, optimize data storage, and mentor other engineers, specifically in healthcare products.

Seeking a Software Engineer responsible for designing and developing scalable software solutions, participating in Agile processes, and collaborating with teams.

The Founding Data Engineer will design and build scalable data systems, pipelines, and cloud infrastructure to support an AI recruiting platform, working closely with cross-functional teams and taking ownership of data solutions.

The CTO will lead the technical vision, oversee backend systems, drive architectural choices, and scale the engineering organization while ensuring compliance and security frameworks are met.

As a Founding Staff Software Engineer, you will lead the design and development of robust backend systems and APIs, optimize large-scale data workflows, and mentor a growing engineering team.

Design, build, and support features for a monetization platform while ensuring reliability and performance as a senior backend engineer.

The Software Architect will oversee software development, enforce coding standards, mentor developers, and support production while collaborating with stakeholders.

Seeking a Principal Engineer to lead architectural standards for Developer Platform functions, enhancing engineering efficiency and quality across the organization.

As a Staff Full Stack Engineer, you will develop and maintain web applications, collaborate with teams, ensure scalability, and provide technical leadership. You will work with APIs and user interfaces to enhance patient data accessibility in healthcare.

The role involves building and shipping high-quality applications for grocery store operations, collaborating with engineering, product, and design teams, and ensuring software quality through automated testing.

Build and ship lightweight internal full-stack tools end-to-end within small pods. Rapidly prototype, deploy, operate, and iterate tools using cloud platforms and AI-assisted development to improve team productivity and automate workflows.

Design, build, and operate shared backend services and APIs. Own full SDLC, define service boundaries and data models, ensure scalability and reuse, apply DDD and systems thinking, and use AI-assisted tools to accelerate development while maintaining maintainability.

Design, build, and maintain RESTful connectors and normalization layers for identity/entitlement data; implement data sync, delta detection, and versioning; develop Next.js/React dashboards; integrate enterprise APIs and secure read-only auth; use AI-assisted coding tools; collaborate with PMs, architects, and QA while maintaining documentation and version control.

Provide technical support and case management for customers' lab automation and robotics systems. Troubleshoot hardware, software, networking, and database issues; deploy integrations and code; collaborate with field engineers and cross-functional teams; train customers; manage up to 30 West Coast accounts; document issues and contribute to process improvements. Role includes remote, on-site, and customer site work with ~30% domestic travel.

The Senior Solutions Engineer will customize Geotab solutions for partners, lead technical collaborations, and drive revenue growth through expert support and solution design.

Design, program, integrate, and deploy industrial robotic solutions (palletizing, picking, goods-to-person) for fulfillment and manufacturing. Work includes robot programming, systems integration with conveyors and vision, simulation, commissioning troubleshooting, cycle-time optimization, and cross-disciplinary collaboration.

Lead design and ownership of ground-segment software architecture for satellite missions. Define As-Is and Target architectures, translate stakeholder requirements into engineering specs, coordinate cross-team development and integration, document architectures and interfaces, analyze tradeoffs, and support customer program capture and execution.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

The role involves Test Engineering with specific requirements for security clearance and extensive experience. Responsibilities include executing evaluation plans, producing reports, and performance analysis, along with a focus on automation testing.

Lead the design and implementation of secure, scalable data processing platforms, focusing on ETL frameworks, event-driven systems, and high-performance microservices.

Operate and harden production EKS Kubernetes clusters across multiple AWS regions. Build IaC (Terraform, Ansible), implement policy-as-code, ensure security and compliance, manage observability (Prometheus/Grafana), perform L3 support and incident RCA, run platform-level testing and DR, automate toil, and partner with application teams for sizing and cost optimization to achieve high availability for critical cloud infrastructure.

As a Senior Software Engineer, you'll design, develop, and maintain production-ready API solutions, collaborating with cross-functional teams while utilizing cloud technologies and agile methodologies.

As a Staff Data Engineer, you'll lead the data engineering team, own the Databricks platform, build production pipelines, and engage with stakeholders while driving architectural judgement and maintaining platform quality.