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

The Director of Engineering will lead the Integrations team, overseeing architecture, technical strategy, team growth, and cross-functional collaboration to enhance integration solutions and AI adoption.

As a Software Engineer in Buyer Growth, you will drive growth initiatives, design end-to-end systems, and mentor engineers in a fast-paced environment.

The Senior Software Engineer will design and implement scalable full-stack solutions, modernize legacy systems, and collaborate across teams while supporting AI-driven shopping experiences.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Design and implement scalable mobile advertising experiences using React Native and Google Mobile Ads SDK. Translate revenue requirements into ad implementations, support native/interstitial/rewarded formats, manage ad configuration/loading/display, ensure performance and user experience, and collaborate with stakeholders while guiding engineering peers on consent management and programmatic advertising.

This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.

The Senior Render Engineer will develop rendering tools, optimize algorithms, collaborate with artists, and push advancements in graphics technologies.

The Senior Software Engineer will design and implement full stack features, collaborate with teams, and contribute to the development of fundraising tools and platforms for nonprofits.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Design, build, and operate backend services focusing on performance, scalability, reliability, and observability. Diagnose production issues, optimize data models and APIs, contribute to architecture and operational strategy, and collaborate across product, frontend, and DevOps to deliver mission-critical systems.