Top Hybrid Software Engineer Jobs in Los Angeles, CA

Build scalable, privacy-safe advertising signals and measurement systems for Snap’s ad platform. Lead end-to-end software and infrastructure initiatives involving signal ingestion, identity matching, data pipelines, measurement, and advertiser ROI analysis. Provide technical direction across teams, optimize availability, scalability, performance, security, and cost, and collaborate with product, machine learning, and advertising partners. Mentor engineers and apply modern AI-assisted development practices while delivering reliable production services.

Own and define Dubsado’s data infrastructure strategy, including pipelines, warehouse reliability, analytical modeling, data quality, observability, and tooling standards. Build scalable data systems, collaborate with engineering, product, and business teams, and support AI agents, customer-facing features, and internal users. Serve as the initial dedicated data specialist, operating autonomously while gradually distributing data quality ownership across engineering.

Build and scale Java backend services, recommendation infrastructure, and data-processing pipelines for Taboola’s performance advertising platform. Design reliable microservices, search and event-driven systems handling billions of events and terabytes of data. Own services end to end, including production monitoring, incident response, root-cause analysis, and continuous improvement. Collaborate with product and architecture teams, manage integration projects, mentor engineers, and use AI-assisted development tools.

Develop and maintain low-latency backend components for a globally distributed advertising platform. Responsibilities include writing high-performance C++ or Rust code, designing systems, testing, reviewing code, supporting production services, troubleshooting performance issues, and collaborating across teams to deliver projects.

Architect, build, and optimize a full-stack platform using React.js, Node.js, GraphQL, REST APIs, and SQL databases. Lead technical decisions, performance optimization, observability, testing strategies, and cloud-based deployments. Mentor engineers, conduct design reviews, evaluate technologies, and drive initiatives across multiple teams while collaborating with product, QA, customers, and leadership.

The Senior Software Engineer will design and build scalable AI/ML backend systems, develop data pipelines, and collaborate with cross-functional teams to implement ML-driven features while ensuring system performance and documentation.

Leads multiple software engineering teams and managers responsible for scaling B2B SaaS products. The role combines people management, technical leadership, recruiting, mentoring, performance development, and engineering culture improvement. Responsibilities include promoting software quality, automated testing, CI/CD, DevOps, Agile practices, and cross-functional collaboration with product, QA, security, sales, marketing, HR, and customer success teams.

Lead delivery of Adobe Experience Manager (AEM) Sites and Assets solutions: manage client relationships, ensure quality, mentor junior staff, design components and workflows, resolve dependencies, support testing and releases, and translate product objectives into solution designs.

Leads a team developing embedded automotive software and firmware. Responsibilities include managing priorities, schedules, sprint planning, software quality and testing, designing platform services and APIs, developing MISRA-C code, evaluating build tools, debugging target and host systems, and documenting requirements and deliverables.

Lead a compliance and risk engineering pillar to design, deliver, and operate regulatory automation, AI/ML, and risk-control platforms. Own roadmap, reliability, incident and defect management, stakeholder communication with Legal/Cyber/Compliance, and hiring and growth of software and quality engineering teams across global jurisdictions.