Top Remote Python Jobs in Washington, DC

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale cloud infrastructure.

Designs, develops, and maintains infrastructure for ML pipelines and CI/CD. Analyzes infrastructure performance, collaborates with data and software teams, manages feature stores and model registries, writes maintainable code, and documents technical processes. The role requires experience with cloud, big-data, programming, workflow orchestration, version control, and continuous integration technologies.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale distributed systems.

Develop and deploy automated system tests for distributed software environments. Collaborate with developers and QA teams, create test plans, verify requirements and coverage, troubleshoot features, improve testing methodologies, and solve large-scale automation and verification problems using software development and related internet technologies.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Lead and grow a developer experience team responsible for monorepo strategy, CI/CD, build systems, developer environments, and onboarding. Improve engineering velocity, CI reliability, and developer trust; establish standards, adopt AI-assisted workflows, and partner with infra/ML teams to remove friction for large-scale AI research.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.

Design and operate secure, scalable, highly available infrastructure for a low-latency decentralized exchange and blockchain network. Own infrastructure automation, CI/CD, Kubernetes performance, observability, security, incident response, disaster recovery, cost optimization, and reliability practices. Mentor engineers, document systems, and participate in on-call rotations while supporting high-throughput trading workloads.

Provides remote, onsite, and customer-site technical support for laboratory automation platforms. Manages customer cases, troubleshoots software, hardware, networking, robotic, and database issues, deploys and debugs integration code, performs upgrades and configuration changes, trains customers, collaborates with field and internal teams, and documents resolutions and process improvements.

Supports laboratory automation customers by managing technical cases, troubleshooting software, hardware, networking, and robotics systems, and deploying integration code. Configures databases, performs upgrades and configuration changes, trains customers, collaborates with field service and software teams, documents issues, and drives resolutions. The role is remote with office and customer-site work and requires approximately 30% domestic travel.

Design, develop, test, implement, maintain, and support custom web applications and software solutions involving internet security, content delivery, APIs, and cloud computing. Build new applications and platform capabilities, improve existing functionality, contribute to automated unit, functional, integration, and end-to-end testing, and troubleshoot distributed systems and web services.

Develops, integrates, verifies, and validates software for autonomous unmanned aircraft systems. Leads system-level integration and testing across laboratory, ground, flight, HITL, SITL, and simulator environments; analyzes telemetry and test data, troubleshoots anomalies, documents results, and supports corrective actions. Collaborates across software, systems, controls, avionics, and flight-test teams, mentors engineers, coordinates integration activities, and ensures safety, regulatory, and technical compliance.

Build and improve distributed data applications powering large-scale audience segmentation and personalized messaging. Own well-scoped features end to end, including design, implementation, testing, deployment, and operation. Collaborate with engineering, product, and design teams while developing expertise in distributed systems, data pipelines, real-time processing, databases, and platform performance.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Develop and deploy automated system tests for distributed systems, improve testing methodologies, validate test plans and cases, and collaborate with developers and QA teams. The role involves software QA, test automation framework development, root cause analysis, functional, stability, integration, and performance testing, plus solving large-scale systems testing challenges using programming and related internet technologies.

Designs and leads secure, scalable cloud infrastructure architectures across AWS, Azure, and GCP. Responsibilities include cloud migration and modernization, infrastructure automation, CI/CD, platform engineering, governance, security, compliance, observability, reliability, and cost optimization. The role also advises clients and executives, leads architecture workshops, develops cloud adoption strategies, and mentors engineering teams.

Manage AWS cloud infrastructure, CI/CD pipelines, Terraform-based infrastructure, containers, monitoring, and operational automation. Administer Microsoft 365, Entra ID, Intune, Windows, and macOS devices. Support onboarding, offboarding, remote technical issues, identity and access management, IT assets, documentation, security standards, and incident troubleshooting while collaborating with engineering, security, operations, and vendors.

Designs, implements, secures, and supports hybrid enterprise networks across Azure, AWS, on-premises data centers, offices, and remote locations. Responsibilities include cloud connectivity, routing, switching, firewalls, VPNs, monitoring, troubleshooting, Zero Trust controls, high availability, disaster recovery, and Infrastructure as Code automation. The engineer leads migration and modernization initiatives, coordinates with vendors, supports office deployments, documents network environments, participates in on-call support, and mentors junior staff.

Leads and develops software engineers through mentorship, feedback, hiring, and career growth. Partners with product and design to deliver secure, scalable, reliable features; guides architecture and engineering best practices; improves processes, velocity, and execution; and translates customer and business needs into technical roadmaps. The role requires hands-on leadership in a high-growth startup environment and ownership of engineering culture, performance, reliability, and talent development.

Develop data integration, health information exchange, and IRIS application solutions for healthcare and other clients. Responsibilities include designing robust distributed applications, defining project specifications, selecting implementation strategies, collaborating directly with clients, and contributing to large-scale InterSystems IRIS and HealthShare implementations. Strong communication and software development skills are essential, with healthcare IT and healthcare data integration expertise highly valued.

Develop and lead automated testing for software features and major releases on Agile teams. Design object-oriented automation frameworks, automate tests using Python or similar languages, perform white-box, black-box, functional, and performance testing, investigate defects, manage test lab environments, estimate testing efforts, mentor engineers, and report testing status.