Top Senior Level Software Engineer Jobs in Los Angeles, CA

As a Software Integration Engineer, you'll develop and integrate complex software systems for space operations, drive technical excellence, and mentor engineers.

The Solutions Engineer collaborates with Sales and Partnerships, integrating Square's platform with sellers, providing technical guidance, and offering white-glove support for strategic clients.

The Principal Software Engineer will design automated ad serving systems, lead technical direction, collaborate with teams, and mentor engineers.

As a Video Engineer at Whatnot, you'll enhance the platform's video services, develop seller tools, and implement innovative video strategies to improve user engagement and experience.

The role focuses on developing software for optical terminal processors, including device drivers and communication subsystems, while debugging and performing fault recovery for integration issues with hardware.

Lead the evolution of the NBC News Apps Platform, delivering shared libraries and improving backend tooling for mobile and OTT applications while mentoring teams and enhancing developer productivity.

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.

Design, develop, and lead implementation of APIs, backend services, and front-end interfaces for satellite and ground systems. Own full lifecycle in an Agile DevSecOps environment, focusing on automation, testing, security, performance, code reviews, and mentoring teammates.

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.

Design and implement low-latency, reusable data pipelines and real-time systems that produce tracking and pose data for AI-driven sports insights. Integrate computer-vision and event-detection algorithms, build performant cloud and on-premise services, create developer tools and frameworks, mentor teammates, and ensure scalable, autonomous systems with minimal manual intervention.