Top Remote Python Jobs in Washington, DC

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

As a Senior Platform Engineer, you will manage Azure Government deployments, enhance infrastructure as code, implement CI/CD, and mentor engineers.

As an Engineer at Archer, you will work on advanced aerospace programs, focusing on survivability technologies and Operations Analysis, leading cross-disciplinary teams.

The Senior Software Development Engineer will modernize a healthcare payer application using .NET and Angular, integrate AI models, and mentor junior engineers while working independently on complex tasks.

As a Senior Infrastructure Engineer, you'll shape architecture and strategy for managing unstructured data, design cloud-based deployment systems, and mentor teams while enhancing infrastructure best practices.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

Lead Leap's engineering function: hire and scale a high-performing team, own the technical roadmap and architecture, build AI-native data and production ML systems (LLMs/agents), and deliver correct, auditable healthcare workflows for drug identity, causal attribution, and intervention automation.

Lead technical initiatives for a stream-aligned engineering team: design and implement scalable, resilient microservice-based systems, build and maintain JSON APIs, apply DDD and best practices, mentor mid-level engineers, collaborate with product and stakeholders, and evaluate new technologies to support business goals.

Build and maintain data-intensive, interactive web products across the full stack. Architect and implement API and frontend features, validate FastAPI responses with Pydantic, access Postgres via SQLAlchemy, optimize performance and scalability, implement testing and QA, participate in code reviews, refine UX, and help define engineering processes at an early-stage company.

The Senior Platform Engineer will automate product delivery using Cloud technologies, mentor team members, and implement Infrastructure as Code, CI/CD pipelines, and cloud architecture under AWS security standards.

Ensure reliability and availability of Tradeweb's global AWS platform through IaC automation, observability and SLO definition, incident triage and resolution, on-call duties, collaboration with development teams, and security-focused platform improvements.

Build bespoke, mission-critical full-stack software for strategic (defense) customers: front-end, back-end, data integration, cloud (AWS/GCP), and CI/CD. Translate customer needs into technical requirements, mentor engineers, leverage AI tooling for rapid iteration, and deliver reliable solutions while traveling to customer sites.

Customer-facing senior Solutions Architect leading and mentoring engineers to design and deliver cloud-native, secure CI/CD solutions. Own POCs and packaging (Zarf/UDS), build CI/CD pipelines, deploy and troubleshoot containers and Helm/Kustomize artifacts across AWS/GCP/Azure, and drive process improvements and enablement for Defense customers.

Design, develop, deploy, monitor, and support APIs and system integrations (Salesforce, REST, third-party). Work directly with clients to gather requirements, troubleshoot and optimize integrations, operate solutions in AWS, collaborate with teams, and mentor junior developers.

Lead a small cloud engineering team to design, maintain, and secure hosting platforms for two global SaaS products. Combine people management (hiring, coaching, performance) with hands-on technical work in Kubernetes, ArgoCD, Azure, IaC, and Linux; troubleshoot stack-wide issues, manage backlog execution, coordinate cross-functionally, produce leadership reports, and serve as escalation point for infrastructure requests and incidents.

Build and maintain CI/CD pipelines, manage and optimize multi-account AWS infrastructure (ECS Fargate, select EKS), ensure security and observability (Datadog), troubleshoot distributed event-driven systems, participate in daytime on-call, and support internal IT/device and identity lifecycle tasks.

Develop and maintain high-volume Kafka data ingestion pipelines in Python using Producer/Consumer APIs and Kafka Connect (Debezium/JDBC). Configure topics, brokers, schema registry, converters, and connectors; implement CDC, custom producer/consumer logic and transformations; optimize broker/producer/consumer/connect/stream settings; deploy multiple source/sink connectors to production and integrate Kafka with messaging systems like RabbitMQ, Redis, and AWS SQS.

Hands-on DevOps role focused on containerization and cloud deployments: build and deploy Docker images across VMs, container services, and Kubernetes; implement CI/CD pipelines; manage identity services and APIs; deploy web apps and microservices on AWS/Azure/GCP; monitor container logging and manage managed databases. Work as an individual contributor on production platforms.

Build and maintain backend APIs and microservices using Django REST Framework and Django 3.0. Implement serialization, models, views, routers, authentication/authorization, and complex RESTful endpoints. Work with relational and NoSQL databases, complex SQL queries, nested JSON and XML, and ensure API security and scalability. Collaborate with data engineering on data and ML pipelines. Immediate joiners; remote, individual-contributor role in a startup-like environment.

Remote entry-level DevOps role responsible for deploying and managing containerized Python and JavaScript applications on cloud managed services (AWS/Azure/GCP). Implement CI/CD pipelines, container orchestration (Kubernetes/EKS/AKS/GKE), deploy web and microservice applications, node/django apps, and managed databases. Opportunity to work on data and ML infrastructure and scale deployments.

Manage and optimize development and deployment processes. Implement and maintain CI/CD pipelines, manage AWS cloud infrastructure, operate Docker and Kubernetes, write automation scripts (Python, Bash), ensure system reliability and performance, troubleshoot issues, and collaborate with development teams.

Develop, test, and maintain software applications. Design scalable solutions with the engineering team, work in Agile, and use Java, Python, SQL, and Git to meet user and business needs.

Senior Linux systems engineer responsible for deploying, configuring, and optimizing RHEL-based application environments. Develop automation and standardized deployment practices, ensure system reliability, performance, and security, provide third-level technical support and on-call escalation, support cloud adoption, and document/transfer operational knowledge across engineering and operations teams.

Support and maintain a containerized Atlassian server stack in a secure Linux PaaS environment. Implement, automate, and troubleshoot DevOps systems, deployments, and infrastructure. Improve performance, availability, and security while collaborating with cross-functional Agile teams and maintaining documentation.