Top Hybrid Software Engineer Jobs in Los Angeles, CA

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.

Lead design, development, modification, and deployment of Duck Creek-based P&C insurance solutions. Manage client accounts and development teams, mentor staff, architect solutions, design UIs, and ensure project success and quality.

Lead Guidewire system implementations and upgrades (Digital Portals), design and deliver Guidewire solutions, manage large projects, engage senior clients, provide strategic input, mentor teams, and ensure operational excellence and client satisfaction.

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 and mentor a team of full-stack engineers to define strategy, roadmap, and measurable goals. Collaborate with Product, Data Science, Operations, and executives to deliver scalable, high-availability services. Make technical tradeoffs, hire and retain talent, apply AI tools responsibly, and ensure code correctness, security, and production quality while executing large, complex initiatives.

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.

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.

Leads multiple software engineering teams developing and scaling B2B SaaS products. Oversees engineering managers and technical teams, drives product delivery and quality, promotes CI/CD, DevOps, automated testing, and lean practices, and partners cross-functionally with product, design, sales, marketing, and leadership. Responsibilities include recruiting, retaining, mentoring, and developing engineering staff while improving engineering processes, culture, and innovation.

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.

Lead design and delivery of scalable budgeting and pacing infrastructure. Build and maintain high-performance Java production systems, collaborate with engineering and product teams, apply data-driven decision making, and ensure reliability, observability, and continuous improvement of distributed systems.

Design, build, and scale cloud-based backend platform components and connectors for ERPs, banks, payments, tax and subledger systems. Lead architecture, deliver highly available multi-tenant SaaS services (API gateway, event bus, identity, scheduler, search, workflow orchestration), ensure performance, security, extensibility and testability, mentor engineers, drive technical decisions, and support deployments and occasional off-hours support.

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.