Top Remote Linux Jobs in San Diego, CA

The role involves building Python-based data pipelines for large autonomy datasets, developing cloud-based tools, and collaborating on data-driven decision-making for autonomous systems.

Develop and maintain native Windows endpoint functionality for Keeper's PAM platform, ensuring software is secure and high-performance. Troubleshoot issues and collaborate with engineering teams on architecture and implementation.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

Lead the architecture and development of Azure-based IoT cloud solutions, ensuring scalability, reliability, and security. Mentor engineers and optimize cloud platform performance while collaborating across teams.

The Senior Site Reliability Engineer will lead service onboarding, maintain SLAs/SLOs, design secure infrastructure, automate operational tasks, and respond to incidents while ensuring system reliability and performance.

The Partner Solutions Engineer builds relationships with partner SEs and technical leaders, supports partner sales with technical needs, and drives partner-informed product enhancements through collaboration with key ISVs.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead a 5-8 person full-stack growth engineering team to accelerate acquisition, activation, retention, and revenue via data-driven experiments, technical optimization, and engineering best practices. Own delivery, metrics, roadmap alignment, agile planning, quality improvements, and people development including hiring and mentoring.

As a Solutions Engineer II, you'll support sales with technical expertise, product demos, solution design, and troubleshooting under moderate supervision.

Develop algorithms for autonomous driving and create software for safe and intuitive motion planning. Collaborate with perception and control components, and mentor team members.