Top Hybrid Software Engineer Jobs in Los Angeles, CA

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

Lead and grow a software engineering team owning delivery, quality, and operational health. Provide technical oversight for architecture and code quality, drive planning and execution cadence, adopt AI-assisted development tooling, recruit and onboard engineers, remove blockers and manage cross-team dependencies, and partner with product and design to deliver high-impact work.

Design and implement scalable microservices and customer/internal APIs. Lead technical specification, development, integration, testing, and release. Optimize performance, refactor code, collaborate with stakeholders, mentor engineers, and ensure reliable, maintainable solutions across the platform.

Lead a product-facing engineering team focused on acquisition and conversion. Set priorities and metrics, partner with cross-functional teams, drive experimentation and funnel optimization, hire and coach engineers, ensure secure, reliable, and scalable systems, and balance speed with long-term technical health and team sustainability.

Build and ship consumer-facing web applications and features using React, Next.js, and TypeScript. Integrate front-ends with back-end APIs, extend a custom AI development harness, collaborate with product and design, and participate in the full development lifecycle on high-traffic sites.

Develop and customize insurance applications on the Guidewire platform (PolicyCenter, BillingCenter, ClaimCenter). Design, code, test solutions using OOP and Guidewire technologies, manage system configurations, mentor junior staff, build client relationships, and apply firm methodologies to deliver high-quality insurance technology solutions.

Build and scale full‑stack product features and systems across frontend and backend. Own projects end‑to‑end from design through rollout and maintenance. Improve reliability, performance, observability, and scalability. Collaborate with Product and Design, mentor teammates, contribute to architecture and design reviews, and leverage AI tools to accelerate development while maintaining engineering judgment.

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.

Lead design and build of an AI-powered, spec-driven development platform: evaluate frameworks, architect end-to-end tooling, integrate with CI/CD and Kubernetes, partner with DevOps, MLE, and Security, instrument adoption and velocity metrics, and drive org-wide rollout and training to enable non-engineers to author specs.

Modernize and maintain Magnus and Goliath platforms across Java, Go, and JavaScript. Build AI-powered features (LLMs, tool-calling), integrate BigQuery, GCP, MySQL and internal APIs, diagnose production issues, write automated tests, and own projects end-to-end from design through deployment and support.