Top Remote Python Jobs in Washington, DC

Seeking a Senior Software Engineer to build scalable ML platforms integrating AI tools, collaborating with teams, creating APIs, and providing mentorship.

The role involves designing and implementing cloud-native infrastructure for AI/ML workloads, optimizing Kubernetes environments, and contributing to open-source MLOps tooling.

The Cloud Data Engineer will enhance cloud service operations by ensuring reliability, security, and performance while implementing standards and automation. Responsibilities include building components in Azure, monitoring resources, troubleshooting, and documenting best practices.

Design and develop software for embedded platforms primarily for autonomous vehicle applications, leading initiatives and mentoring engineers.

Develop geospatial solutions tailored for defense agencies, collaborating with teams to document workflows and ensure product quality through testing and support.

This role involves developing Python software for High Performance Computing (HPC) environments, collaborating with global teams, and delivering HPC solutions.

Lead EM and IR-drop simulations ensuring robust power delivery and signal integrity for high-performance ICs. Collaborate with teams on power grid strategies and support EMIR sign-off across chip hierarchy.

Lead the development of autonomous infrastructure platforms, architect solutions for multi-cloud environments, and establish technical standards for enterprise organizations.

The Expert Software Engineer will design and develop scalable software solutions using Java and SQL, with a focus on Snowflake and AWS, while ensuring security and data governance compliance.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

As a Senior Software Engineer, you'll build scalable applications, solve complex problems, and collaborate across teams focused on healthcare pricing systems.

As Lead Platform Engineer, you will manage technical architecture, cloud infrastructure, and security while mentoring a team and collaborating on product solutions.

The Staff Software Engineer, Backend will lead large-scale projects, mentor engineers, drive technical decision-making, and design scalable, high-performance software systems. They will engage with stakeholders and ensure alignment with business needs while maintaining code quality and optimizing software solutions.

Lead a team developing simulation tests for validating autonomous driving software, analyzing results, and improving simulation technology and processes.

Oversee and optimize enterprise network infrastructure with a focus on Palo Alto Networks technology in a healthcare RCM environment, ensuring secure and compliant connectivity across systems.

As a Senior DevOps Engineer at Udacity, you'll manage cloud services, support developers, implement production platforms, and innovate engineering solutions while mentoring others.

Lead the engineering team to design and implement scalable data solutions, enhance data integrations, and maintain high-quality code. You'll work on architecture frameworks, data pipelines, and play a key role in data product development.

Design and maintain automation workflows using tools like Zapier and AWS. Collaborate with teams to enhance efficiency and implement scalable solutions.

The Lead AI Product Engineer will guide a distributed team to build scalable AI-integrated software solutions, oversee architecture and AI strategy, and mentor developers.

As a Quant Research Engineer, you will transform mathematical models into code, optimize vault strategies, conduct risk assessments, and collaborate on research in DeFi.

As a Staff Backend Engineer, you'll improve network data observability services, collaborate with teams, and solve challenging engineering problems.

The Cybersecurity Platform Engineer will build and maintain security platforms, automate processes, and collaborate with teams to enhance security operations.

Responsible for leading network integration projects for M&A, collaborating with teams on deployments, ensuring security compliance, and maintaining network documentation.

As a Principal Platform Engineer, you'll architect and implement Azure and GitHub solutions, automate processes, and enhance client platform strategies.

This position integrates security into development workflows, focusing on automation and compliance while managing security projects and tools to ensure system integrity.