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

Design and implement Kotlin backend services and end-to-end systems for Toast POS device management. Lead technical designs, estimations, performance optimization, cross-team collaboration, and software quality practices including modern testing and observability. Mentor peers and drive product roadmap alignment with product, hardware, and QA stakeholders.

Build and maintain high-scale backend systems and APIs for a 24/7 sports betting platform. Deliver production-ready code, own services end-to-end, resolve production incidents, optimize performance, and mentor peers while collaborating with product and architecture teams.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

As a Solutions Integration Engineer IV, you will lead B2B integrations, mentor teams, manage customer relationships, and develop scalable solutions using IoT data.

Lead design and delivery of scalable Salesforce solutions, provide technical leadership on implementations and integrations, enforce development best practices, manage data modeling and migrations, optimize platform performance, collaborate with stakeholders, and mentor developers to ensure secure, maintainable Salesforce architecture.

The Lead Software Engineer will design scalable distributed systems on AWS and Kubernetes, mentor engineers, and influence technical direction across teams while ensuring system performance and reliability for marketing intelligence products.

Senior Solutions Engineers drive technical discussions, work on solution designs, and advise customers on best practices to implement Cloudflare products.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.