Top Hybrid Software Engineer Jobs in Los Angeles, CA

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and maintain scalable full-stack web applications for Snap’s user-facing products. Develop interfaces and services, optimize performance, contribute to shared libraries, analyze operational and engagement metrics, and use AI-assisted workflows while maintaining code quality, security, scalability, and production readiness.

Design, architect, and implement high-performance iOS applications for Snapchat’s camera experiences. Develop and launch stable, scalable features using Objective-C, optimize mobile performance and multithreading, conduct code reviews, evaluate technical tradeoffs, collaborate with Design, and apply AI-assisted engineering workflows while maintaining code quality, security, and architectural integrity.

Build and operate production software for Crunchyroll’s Concepts Lab, turning validated experiments into reliable products. Embed with delivery teams, design systems, maintain CI/CD and testing, manage production health, improve security and scalability, document services, and lead clean handoffs to long-term owners. Mentor engineers and contractors, contribute to hiring, and establish standards for code quality, observability, cost management, and release safety.

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.

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.

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 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.