Top Remote Python Jobs in Washington, DC

Lead architecture and operational maturity of enterprise release management and CI/CD across cloud-native, SaaS, and enterprise products. Modernize deployment automation, artifact lifecycle and supply chain integrity, embed DevSecOps, define release governance and KPIs, mentor engineers, and communicate release readiness and risks to stakeholders.

Design, build, and maintain highly available Kubernetes infrastructure at scale. Lead and own compute platform components, improve CI/CD and automation, enhance reliability, observability, and disaster recovery, mentor engineers on container and cloud best practices, collaborate with platform and application teams, and participate in on-call incident response.

Design, develop, and administer databases and web applications for IVR and call center software. Build cloud-based integrations, write and maintain SQL, and participate in call center analytics system development and integration.

Migrate and operate customer experience applications on Google Cloud. Perform lift-and-shift to GCP, deploy and validate releases, manage containerized microservices (GKE/Docker/Terraform), query and configure apps, use Jenkins/git for pre-staging, and troubleshoot Linux/Unix systems with scripting.

Design, build, and operate central observability platforms. Develop telemetry pipelines for logs, metrics, traces, and events; enforce instrumentation standards; build scalable cloud-native ingestion and storage; optimize cost, performance, retention, and reliability; investigate incidents and drive root-cause analysis; and create dashboards, reports, and service-level monitoring frameworks.

Develop and support Oracle EBS R12 and Oracle Cloud ERP finance modules. Build PL/SQL packages, reports, data models, and integrations; perform root-cause analysis, testing, patching, documentation, and collaborate with stakeholders to deliver scalable technical solutions.

Own end-to-end quality validation for new features and releases on a genomics platform. Design, build, and maintain scalable automated regression suites (Playwright/Cypress/Selenium), run API/integration tests (Postman/Swagger), integrate tests into CI/CD, lead exploratory testing and release readiness, track defects to resolution, improve QA processes, and mentor junior QA engineers while communicating quality risks across teams.

Guide customers through cloud data engineering transformations, providing leadership for data projects and architecting production workloads. Collaborate with architects, deliver training, and enhance community adoption using Databricks Intelligence Platform.

Customer-facing Specialist Solutions Architect guiding customers on Databricks administration and secure production deployments on GCP. Architect production deployments, address security, networking, identity, automation (IaC), provide technical leadership for proofs-of-concept, training, and community contributions.

Lead frontend platform architecture across web and mobile: design and evolve design systems, component libraries, build tooling, accessibility, internationalization, and developer experience. Partner with backend teams on GraphQL/Python, maintain security and compliance, mentor engineers, drive cross-team initiatives, and deliver scalable, high-quality frontend foundations used by multiple product teams.

Design, build, and operate a scalable demo environment platform. Implement IaC and automation, CI/CD, container orchestration, and observability. Create golden templates, seed data, access controls, and tooling to support Sales Engineering and internal users while ensuring reliability and security.

Develop and maintain scalable, performant web applications and data pipelines. Collaborate with engineering managers, product, and stakeholders using Agile practices. Emphasize observability, testing, CI/CD, security, and incremental releases to deliver robust production systems.

Develop and maintain automated test frameworks and scripts, collaborate with developers to find and fix defects, execute manual and automated tests, perform regression testing, create test documentation and reports, and support CI/CD and DevOps-aligned QA processes across platforms.

Perform foundational manual testing: write and execute test cases, run regression and exploratory tests, document bugs and test results, collaborate with cross-functional teams, update TestRail, and learn automation (Playwright) and AI-assisted testing tools.

Design and build scalable, cloud-native backend systems and APIs on AWS. Focus on architecture, performance engineering, PostgreSQL tuning, caching, async processing, observability, and production support including on-call. Collaborate through code reviews, documentation, and Agile processes while integrating AI-augmented development tools where useful.

Senior-level network engineer responsible for Tier-3 support, diagnosing outages, dissecting packet captures, labeling and analyzing network data, scripting tools to process/clean data, and defining schemas for large-scale data pipelines to support ML systems.

Manage and mentor multiple software development teams to deliver complex, high-quality applications. Oversee planning, execution, budgets, risks, and technical direction. Drive adoption of best practices, CI/CD, DevOps, cloud architectures (Azure), microservices, and scaled agile delivery. Collaborate with senior leadership, product owners, and vendors to align development with business goals, and lead performance management, career development, and process improvements.

Build and maintain scalable, high-performance web applications and data-visualization platforms using React, Redux, Vite, and TypeScript. Collaborate with cross-functional teams to design features, write clean code and tests, debug, contribute to APIs, mentor junior engineers, and apply modern development practices including CI/CD and accessibility considerations.

The role involves building and operating data platforms, ensuring reliability and performance, and guiding technical direction while fostering collaboration with teams across the organization.

Design, develop, test, and maintain scalable, high-performance software. Collaborate with product, design, and engineering teams, own features through deployment, mentor peers, perform code reviews, optimize performance, and integrate AI-assisted development workflows.

Monitor global infrastructure using Datadog and SolarWinds, triage and resolve L1 incidents, escalate complex issues, participate in incident response and post-incident reviews, maintain SOPs and ServiceNow tickets, support automation with basic scripting, and provide weekend on-call coverage.

Design, build, and maintain secure, automated AWS cloud-native environments (serverless APIs, event-driven workflows, containerized services). Implement IaC, GitLab CI/CD pipelines, security controls, observability, and production-grade operations for highly reliable, governed systems. Support databases, networking, and incident readiness while partnering with engineering and security stakeholders.

Contract GPU kernel optimization role: analyze profiler metrics, identify bottlenecks, and improve kernel performance across modern GPU hardware. Implement and modify C++17, Python, and GPU code using CUDA/HIP/shaders, document optimization decisions, and collaborate as a freelance specialist (20+ hrs/week preferred).

The Senior Full Stack Developer will design, develop, and maintain applications using Python and React, collaborating with teams to meet technical and business requirements.

The Software Engineer will manage data collection for AI model training, optimize cloud infrastructure on GCP, and collaborate with scientists to enhance datasets.