Top Hybrid Software Engineer Jobs in Los Angeles, CA

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.

Leads AWS-native application engineering initiatives across architecture, development, testing, deployment, and modernization. Sets technical direction, oversees multiple delivery workstreams, guides AI-enabled engineering practices, and develops scalable cloud solutions. Builds executive client relationships, shapes transformation roadmaps, supports business development, mentors engineering teams, and drives application performance, security, reliability, and cloud modernization across AWS and other major cloud platforms.

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.