Top Hybrid Software Engineer Jobs in Los Angeles, CA

The Solutions Engineer will work with sales teams to support seller integrations, advise on Square solutions, and provide ongoing support while collaborating on product strategy.

The Staff Software Engineer will lead the development of Snapchat's client-side ads stack on Android, focusing on networking and performance, while ensuring code quality and leveraging AI tools for scalable services.

The Engineering Manager will lead an AI-focused engineering team, balancing hands-on coding and team management, focusing on technical excellence and growth.

Design and build data infrastructure, pipelines, integrations, and transformations using Azure Data Factory and Databricks. Develop data models, validate data quality, optimize database performance and security, and support client analytics initiatives. Collaborate with teams, mentor junior staff, and translate data into actionable insights to inform strategy.

Develop and maintain systems that power real-time GeniusIQ products: build backend services, orchestration, monitoring, operator UIs, and data pipelines; deploy and run CV/ML models in production; ensure scalability, reliability, testing, and human-in-the-loop workflows across live sporting events.

The Software Engineer III will design, implement, and maintain scalable systems, collaborate with cross-functional teams, write clean code, and utilize AI tools effectively.

The Staff/Sr. Staff Software Engineer will build the GTM AI Brain from scratch, overseeing technical architecture and integrating various systems to enhance revenue operations.

Design and lead scalable, resilient software systems and cloud-native architectures. Provide technical guidance, integrate AI/ML and Twilio, develop machine learning models, and drive best practices across engineering teams.

As an Engineer II for Backend APIs, you'll design, develop, and test APIs for the Reporting & Insights team, collaborating closely with product and engineering teams. Your role involves ensuring high code quality, ownership of services in production, and leveraging AI tools in development.

Design, build, and harden asynchronous infrastructure and developer tooling to improve engineer productivity. Work on background jobs and async communication using Sidekiq, Kafka, and Karafka, collaborate with product engineers, and apply AI/LLMs for large-scale code migrations and faster incident resolution.