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

The Manager, Solutions Architects leads a team of Solutions Architects, focusing on guiding enterprise customers in adopting GitLab solutions while developing team members and collaborating with cross-functional partners.

Design, maintain, and evolve core backend systems and APIs. Collaborate with product teams to create durable and reusable systems while enhancing performance and security.

The Senior Engineer - Boomi Architect leads enterprise integration projects, designing solutions using Boomi iPaaS, and mentoring junior engineers while ensuring scalability and quality standards.

The role involves architecting and delivering scalable integration solutions with Boomi, engaging clients, managing projects, and mentoring junior staff while driving business development efforts.

As a Staff Frontend Engineer, you will lead frontend architecture, drive design system evolution, and oversee the migration from legacy to modern frontend while mentoring engineers and delivering AI-native product experiences.

As a Fullstack Software Engineer, you'll design, develop, and maintain scalable frontend and backend systems while collaborating across teams.

As the Engineering Manager, you will lead a Python-focused team, handle complex technical challenges, foster team development, and balance technical solutions with business goals.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

As a Senior Software Engineer, you'll build and enhance Collectly's healthcare financial products using Python and potentially React, focusing on backend systems and user-facing features.

As a Trust & Safety Engineer, you'll build scalable systems to prevent abuse, focusing on login controls, detection logic, and tooling. You will work closely with Security and Engineering teams.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.