Top Remote Java Developer Jobs in San Luis Obispo, CA

Lead the web engineering team to architect and enhance drata.com, focusing on frontend and backend strategies, site governance, and performance optimization.

As a Senior Software Engineer, you will focus on customer needs, designing and developing software solutions across multiple product areas while ensuring high performance and scalability.

This role involves building and optimizing the marketing site using modern web technologies, focusing on performance, feature launches, and analytics. Collaboration across teams is emphasized to enhance user experience and site functionality.

Lead the development of financial technology solutions, design and implement features, and improve existing systems while mentoring fellow engineers.

The Senior Software Engineer will develop high-quality back-end systems for user acquisition, collaborate with cross-functional teams, and ensure code quality.

Lead the web application team for IKEA Kreativ, designing features and architectures integrating 3D, AI, and cloud services.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

As a Data Engineer, you'll build and enhance data solutions for insurance, managing data infrastructure and collaborating with teams to ensure data integrity while leveraging SQL and cloud technologies.

As a Staff Software Engineer, you will design and build underwriting services that leverage data and machine learning, guiding technical strategies and mentoring team members.

Lead the localization and site discovery engineering team, enhancing web experiences using AI, while overseeing project development and execution.

The role involves leading initiatives for site monetization and advertising, collaborating with various teams on software architecture and system improvements, mentoring team members, and driving impactful changes.

The Senior Data Engineer II designs and maintains data pipelines, supports machine learning workflows, and collaborates with product teams to enhance data integration and analytics.