Top Python Jobs in Los Angeles, CA

The role involves leading data architecture strategies, mentoring team members, ensuring project success, and enhancing cloud resources while upholding ethical standards and promoting technology innovation.

Lead and mentor a data engineering team to design and implement data architecture strategies using advanced technologies, while ensuring quality and performance for client solutions.

The Python Developer will design and implement applications using Python and Django while integrating front-end technologies. Familiarity with Google Cloud and Git is necessary.

The role involves designing and developing data solutions, managing data infrastructure, and leading teams while applying advanced AI techniques and cloud technologies.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

The Senior Full Stack Engineer will lead technical development in insurance tech, design scalable systems, implement AI solutions, and manage cloud architectures while collaborating with team members.

The Python Automation Developer will design and implement automation solutions for healthcare Revenue Cycle Management using Python, Selenium, and OpenCV. Responsibilities include integrating solutions with existing systems, ensuring compliance with healthcare regulations, and supporting long-term automation operations.

As a Backend Software Engineer II, you will develop web services primarily using Python and PostgreSQL, while collaborating closely with product teams to enhance the digital life insurance enrollment experience. You will ensure the quality of services and participate in planning product roadmaps.

As a Senior Backend Engineer, you will develop web services for the life insurance enrollment experience, collaborating with various teams to enhance the product roadmap and maintain service quality.

As a Python engineer on the data platform team, you'll enhance tools for data pipelining and analytics, collaborate with teams to address challenges, and improve software engineering culture at Doximity.

Lead the development and implementation of AI-powered coding tools, driving technical strategy and ensuring system performance across distributed applications.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

As a Senior Software Engineer, you will design, build, and launch backend systems and APIs, collaborate with cross-functional teams, and improve scalability and performance of the CRM application.

As an LLM Python Developer, you'll design software architecture, deliver tested features, and work with large language models and various APIs.

Design and build performance-critical components in C++. Require expertise in multithreaded systems, CI/CD pipelines, and GTK integration, as well as Python scripting.

Develop Python-based microservices and APIs for GenAI applications, participate in architecture discussions, and write tests for reliability.

Seeking a Senior Software Engineer to design scalable backend services and optimize data pipelines in Python, working with AWS in a team-oriented environment.

The role involves designing and optimizing scalable backend systems using Python and AWS, focusing on metadata processing for large datasets.

As a Python Developer, you will design and implement AI solutions, build RAG pipelines, and collaborate directly with clients to address their challenges.

The Telephony Engineer will architect and maintain VoIP systems using Asterisk and FreeSWITCH, develop backend services in Go and Python, and manage cloud infrastructure on AWS, ensuring system reliability and performance.

Design, develop, and maintain scalable back-end systems using Python. Lead architecture decisions, optimize database queries, and collaborate across teams.

Design and implement scalable data pipelines, build APIs for integrations, optimize data flows, and collaborate with teams in a data-centric role.

As a Data Systems Engineer, you will design and optimize data pipelines, work with cross-functional teams, and enhance data systems for scalability and reliability.

The role requires technical leadership and hands-on development in complex applications; overseeing project execution, team management, and collaboration with stakeholders in a technical capacity.