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

Lead the Discovery Platform team, overseeing the development of scalable, high-performance systems for retrieval and ranking to enhance the user experience in Whatnot's live social marketplace.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

The Android Engineer will develop features for Snap Inc's products, ensure code quality through reviews, and utilize AI tools for software development.

The Software Engineer will develop platform infrastructure for Cash App, focusing on scalable solutions and AI-driven tools, while collaborating cross-functionally to ensure customer trust and safety.

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.

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

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 Staff Engineer will design and implement fraud detection systems, build internal tools for Trust & Safety, mentor team members, and enhance payment integrity while collaborating with various stakeholders.

The Sr. NetSuite Systems Developer manages the company's NetSuite ERP, focusing on production support, enhancements, integration, and process optimization while collaborating with business analysts and technical teams.

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