Top Remote Python Jobs in Washington, DC

The Staff Software Engineer will lead the architecture of the Cloud Governance Platform, focusing on governance, security, and compliance while mentoring other engineers and influencing cross-team initiatives.

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.

The Staff Site Reliability Engineer will lead AI-driven innovations, automate cloud infrastructure, implement CI/CD frameworks, and maintain operational IT support at Coinbase.

The role involves leading AI product development, enhancing CI/CD frameworks, automating IT workflows, supporting AWS services, and driving cloud security best practices.

Lead a quality engineering team within Agile squads, manage resource allocation, enforce quality standards, and collaborate on automation and AI integration.

The Principal Engineer will lead the technical roadmap for Upstart's GenAI platform, focusing on LLM infrastructure and system architecture while collaborating with various teams to ensure successful AI integration and operational standards.

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.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

The Solutions Integration Engineer III at Samsara will lead B2B integrations and system integration projects, working closely with customers and internal teams to deliver scalable solutions using APIs and modern cloud services.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

The Software Engineer II will develop and launch backend systems, collaborate on projects, support operational metrics, and engage in team growth activities.

Lead the Continuous Integration team, oversee system design and operations, optimize developer productivity, and mentor engineers.

Lead improvements in build systems for AV and AI developers, manage a team, and collaboratively enhance productivity through developer tools and workflows.

Develop and deploy software solutions in high-security environments, leading engineering teams and collaborating with customers to meet mission objectives.

Join the Query Integration team to enhance MongoDB's query engine, integrating features, improving performance, and contributing C++ code with a focus on database systems.

As a Staff Software Engineer, you'll develop an AI-first platform, design cloud-native APIs, and collaborate on Site Builder experiences with a focus on scalability and quality code.

The Senior Developer Advocate will engage with SMB customers, create technical content, deliver workshops, and partner with cross-functional teams to empower developers using MongoDB's services and features.

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.

Lead the design and implementation of features for chemistry solutions, ensuring high code quality, scalability, and mentor junior engineers while collaborating across teams.

The Lead Software Engineer will define and implement the technical vision for backend solutions, oversee project execution, and mentor team members while focusing on scalability and high availability in a data-intensive SaaS platform.

As Model Evaluation QA Lead, you'll ensure model quality assurance across Deepgram's AI pipeline, designing automated evaluation frameworks, integrating quality gates into release pipelines, and ensuring high standards for model deployments.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

The Senior Backend Engineer will develop data collection applications, design architecture, create APIs, manage databases, and collaborate with teams to enhance software solutions.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.