Top Python Jobs in Sacramento, CA

The Software Engineering Lead will oversee a team, design and implement mission-critical reports, migrate legacy reports to Azure, mentor team members in DevOps and Agile methodologies, and provide technical guidance on analytics solutions. They will work with various Azure services and reporting tools to enhance operational support and reporting capabilities.

The Staff SoC Design Engineer will enhance storage capabilities by developing and optimizing prototype SSD controllers, integrating third-party IP for the HBM memory subsystem, and working closely with verification and physical design teams to ensure timing and functional coverage.

The Systems Engineer II develops, modifies, and codes systems infrastructure, implements and designs information systems, monitors system performance, and troubleshoots existing procedures. Key tasks include managing installed systems, installing management tools, and collaborating with other engineers to ensure high levels of system availability.

The DevOps Engineer at Capio Group will provide maintenance and operational support for Salesforce applications, manage the Software Development Lifecycle, and execute release planning and code deployment. Responsibilities include supporting testing and issue resolution, adhering to Agile methodology, and maintaining comprehensive documentation while collaborating closely with Client stakeholders.

The Senior Software Developer will redesign applications and migrate data from Ab Initio to Python and Oracle SQL. This role involves collaborating with internal teams, designing and coding Python applications, and analyzing test results to improve application performance.

As a QA Automation Engineer, you will develop and execute automated test scripts using the Cypress framework, maintain and enhance test suites, collaborate with cross-functional teams, and perform end-to-end testing for web applications to ensure quality and seamless user experiences.

The Director of Engineering - Data will lead a team to develop and implement data-driven strategies and advanced analytics solutions. Responsibilities include overseeing data pipeline creation, machine learning models, and adopting new data technologies to enhance products and services, ensuring quality data utilization across various teams.