Top Remote Python Jobs in Washington, DC

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture and design decisions while delivering scalable data pipelines, applications, ML/AI integrations, and user interfaces. Lead technical project delivery, advise enterprise stakeholders, train customers, resolve implementation issues, and contribute reusable engineering assets and product feedback. The role requires strong cloud, distributed computing, software engineering, MLOps, documentation, and customer engagement skills, with travel to customers approximately 20% of the time.

Build and maintain agentic workflow components and the platform requirements knowledge base to ensure features ship across GitLabs deployment targets. Implement integration surfaces (issues, MRs, design docs, CI/CD), collaborate with platform teams to translate expertise into structured requirements, and write tests, documentation, and evaluations for agentic-workflow behavior and assessment accuracy.

As an AWS Developer, you will design and implement cloud solutions using AWS services, Java development, and web technologies while adhering to enterprise standards.

The Staff Software Engineer will architect and build scalable solutions for Cloudera's Data Platform, contribute to Apache Spark, enhance engineering processes, and work with large-scale distributed systems.

As a Staff Software Engineer, you will lead the development of Apache Iceberg, enhancing data handling capabilities for large-scale systems, collaborating with teams, and architecting solutions for modern data lakes.

Operate, secure, and optimize an enterprise Linux fleet across AWS and VMware, support Linux virtual desktops, author Ansible automation, enforce CIS hardening and patching, build monitoring and IaC (CloudFormation, Service Catalog), and collaborate with application teams to ensure reliable, performant infrastructure.

Design, develop, and maintain scalable serverless backend services (AWS Lambda) for grading and feedback. Build RESTful APIs and event-driven systems, optimize performance and cost, integrate with frontend teams, implement CI/CD with GitHub Actions, perform code reviews, mentor junior engineers, and troubleshoot production issues.

The Python Developer will enhance features for a web publishing platform, focusing on automated testing and AWS integration within a distributed team.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Lead and manage a team of senior software engineers (8+) to drive architecture, engineering practices, and product delivery. Influence solutions strategy, collaborate with product and technical leaders, perform code and documentation reviews, mentor engineers, and ensure quality, scalability, and knowledge sharing across the platform.

Develop and enhance GIS capabilities within a core C++ OMS application, configure map services, design cartography, integrate spatial databases, resolve spatial data issues, and collaborate with product teams using Jira and GitHub.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Support enterprise managed file transfer operations, Linux and Windows systems, servers, storage, networks, cybersecurity tools, and cloud environments. Administer and troubleshoot infrastructure, configure Axway Secure Transport, support secure high-volume data exchanges, and assist with AWS, security, automation, documentation, training, vendor coordination, modernization, cost estimation, and migration planning.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and user-facing applications. Advise and train customers, lead technical projects, collaborate with engineering and product teams, resolve implementation issues, and develop reusable technical assets. The hybrid role requires travel to customer locations 20–25% of the time and an active Secret or Top Secret clearance.

Build and productionize data and AI solutions for federal government customers using Databricks. Lead architecture, design, and implementation of end-to-end data engineering, machine learning, and application systems. Deliver secure, scalable production architectures, integrate customer systems, guide technical projects, train customers, and collaborate with engineering, product, support, and customer stakeholders. Contribute reusable frameworks and accelerators while managing technical delivery and customer relationships.

Design, build, and maintain web application infrastructure and data systems for interactive information experiences. Lead application architecture, code quality, performance, and reliability; integrate generative AI and prototype XR interfaces; collaborate with designers and data scientists; ensure security, accessibility, scalability, and document technical standards.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

As a backend engineer, you will enhance data collection systems to ensure reliability and scalability, working closely with engineering and mission teams.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Design, build, and maintain the firm's intranet and automated workflows using SharePoint Online, Power Platform, Exchange Online and related Microsoft 365 technologies. Architect secure, scalable persona-based digital experiences, develop automation and templates, implement SPFx/React solutions, integrate REST APIs, support governance, documentation, analytics with Power BI, and drive user adoption and continuous improvement.