Top Ruby Jobs in San Diego, CA

Manage the development team, collaborate with product management and design to deliver high-quality solutions, and solve complex problems while mentoring staff.

Lead implementation of AI solutions across Big Data and observability. Oversee design, management of data platforms, and ensure data governance.

The Splunk Developer will enhance existing systems using Splunk, create dashboards, troubleshoot issues, and monitor infrastructure while communicating effectively across the organization.

Seeking a Ruby-on-Rails Engineer with experience in building production systems, strong skills in Ruby and web development technologies, and familiarity with the Software Development Life Cycle.

The Software Engineer (DevOps) role focuses on supporting tax season operations by enhancing infrastructure, deploying updates, and managing related technology systems.

The DevOps Consultant will design, implement, and support software applications, manage deployments, and collaborate with engineering teams, requiring strong expertise in automation tools and programming languages.

The Splunk Developer will enhance Splunk infrastructure, create dashboards, troubleshoot issues, and ensure effective communication across teams in a fast-paced environment.

The Splunk Developer will enhance Splunk infrastructure, create dashboards, troubleshoot issues, and collaborate with team members on analytics.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Lead the engineering team, providing mentorship, technical direction, and collaborating with other department leaders to achieve growth goals.

The role involves coding, testing, and deploying Salesforce solutions, developing integrations, mentoring junior developers, and participating in Agile Scrum ceremonies while adhering to best practices and addressing technical issues.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.