Top Senior Level Software Engineer Jobs in Los Angeles, CA

Manage and mentor the engineering team, set strategy and goals, collaborate with stakeholders, and evaluate technical trade-offs for ad data processing systems.

The Software Process Lead Engineer will manage software processes in satellite development, ensuring adherence to Boeing standards, leading teams, and educating on software metrics and processes.

Design and build large-scale systems for managing merchandise, ensuring data synchronization across platforms, and collaborating with cross-functional teams to support enterprise-level sellers.

Design and build microservice-based APIs for reporting and analytics. Manage projects and collaborate with teams to enhance API developer experience, ensuring code quality and production reliability.

The Product Integration Lead will manage ad integrations for NBCUniversal's streaming applications, collaborating with engineering and product teams to optimize ad technology and troubleshoot issues. This role demands expert knowledge of ad serving systems and requires leadership in the integration processes across various platforms.

Moonshot Engineers at Relativity Space will prototype and realize world-changing ideas, manage projects, and work across various disciplines in a high-autonomy innovation lab.

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

Lead architecture and scaling of finance systems across Oracle Fusion and integrations. Drive AI-assisted development, design data models, build integrations (SQL/PLSQL, REST/SOAP), automate financial workflows, and translate accounting requirements into scalable technical solutions while partnering with business and data teams.

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 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.