Top Hybrid Software Engineer Jobs in Los Angeles, CA

As a Forward Deployed Engineer, you'll customize Sift's telemetry platform for customer needs, collaborating with teams to develop solutions and strengthen partnerships.

The Application Software Engineer will work with customers to customize and integrate Sift's telemetry platform, develop solutions, and maintain customer relationships. They will collaborate with various teams to translate requirements and enhance workflows.

The role involves architecting and implementing features for games, managing a team, participating in recruitment, and staying updated with technology.

As a Forward Deployed Software Engineer, you will solve customer challenges by creating software solutions, collaborating with clients, and ensuring satisfaction while owning the development and delivery of ION solutions.

The Software Developer II will design, develop, and maintain Java-based server-side applications, ensuring scalability and performance while collaborating with cross-functional teams.

The Founding AI Engineer will design and implement production-grade AI systems focused on orchestrating complex workflows using LLMs and modern AI tools. Responsibilities include architecting, building, and optimizing systems while collaborating with founders and partners on product development.

Design and develop scalable backend systems for quantum technology, maintain the compiler stack for quantum controllers, collaborate with cross-functional teams, and ensure high-quality coding practices.

The Full-Stack Engineer will develop scalable applications, work with AI features, and interface with clients for onboarding and integrations.

As a Senior Data Engineer, you will design and develop AI-powered data solutions, investigate tools, and collaborate with engineering to enhance Sleuth's platform.

Lead iOS application development, create innovative features, collaborate with cross-functional teams, and ensure high-quality standards in a supportive environment.

Lead design and hands-on implementation of enterprise personalization and experimentation programs using Contentful Personalization. Responsibilities include audience strategy, decisioning, experimentation design, integrations with CDPs/CRMs/analytics, architecting delivery across SSR/CSR/edge patterns, running technical discovery, enabling customers, and providing product feedback and internal mentorship.