Top Remote Senior Level Software Engineer Jobs in Los Angeles, CA

The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.

As a Senior Software Engineer, you will develop and maintain high-scale data platforms, write Java code for event pipelines using Spark, and manage a new graph database to enhance data access for analytics and threat hunting.

The role involves developing tools for a cloud platform, building APIs and SPAs, and collaborating with teams to define new features while maintaining CI/CD practices.

Lead and build teams of engineers for Charlotte AI, focusing on AI/ML engineering, team wellbeing, recruitment, and collaboration with product managers to deliver user-focused security solutions.

The Senior Data Engineer will build and optimize data integration pipelines, manage data quality, implement business requirements, and ensure system efficiency. A strong emphasis on coding standards and collaboration is required.

Lead large technology and business projects, create automated workflows, serve as a strategic advisor, and maintain operational excellence. Engage with clients at a senior level to innovate and improve processes.

Responsible for developing and maintaining technical solutions in NetSuite, collaborating with business analysts, mentoring team members, and ensuring best practices.

The Staff Software Engineer will design and build scalable backend systems for autonomous vehicle mapping and lead technical initiatives across teams.

As a Senior Software Engineer on the Payments team, you will lead projects in payments systems, build full-stack features, and mentor engineers, ensuring reliability and compliance.

As a Senior Developer, you will lead front-end development, mentor team members, and ensure high-performance web applications while collaborating across the stack.

Lead the development of healthcare data products, improve data quality, and collaborate with cross-functional teams. Mentor junior engineers and apply statistical techniques in data processing.

Lead and scale the Engineering organization, define technical strategy, deliver high-quality software solutions, and mentor teams for continuous improvement.