Top Python Jobs in Tucson, AZ

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 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 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.

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

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 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.

Develop scalable backend systems for government clients, modernize legacy platforms, and collaborate with teams to enhance user experiences.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

Design and implement high-performance system software for medical devices, collaborating with hardware engineers and ensuring adherence to clinical standards.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

As a Telco Cloud Engineer, you will design and implement open-source cloud solutions, conduct pre-sales consulting, and ensure customer success in telecom services.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Develop, test, and release improvements to Ubuntu on public clouds, ensuring quality and stability, while collaborating with a global team.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

As a Senior Python Engineer at ClickHouse, you will enhance the Python ecosystem for data scientists and ML teams, ensuring efficient data integration and optimizing workflows within the open-source environment.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

The Software Engineer will build scalable data pipelines, develop internal tools, maintain cloud infrastructure, and advocate for development standards.

Build scalable data pipelines, develop internal tools, and maintain cloud infrastructure while ensuring code quality and development standards.

Build scalable data pipelines and internal tools, maintain cloud infrastructure, and ensure development standards in a remote setting.