Top Engineering Jobs in Los Angeles, CA

Serve as a domain expert translating complex life insurance and annuity product requirements into scalable, compliant platform architectures. Validate requirements, design solutions across product types, guide engineering teams, and influence product strategy while supporting legacy portfolios and carrier needs.

Lead the frontend platform's evolution, architect complex UIs, mentor engineers, and drive performance and testing excellence while collaborating with cross-functional teams.

Develop core services using Golang and PostgreSQL, resolve feature issues, ensure software quality, and promote CI/CD practices while collaborating with teams.

As an AI Automation Engineer, you'll identify and build AI-driven automation systems for internal operations, rapidly prototype solutions, and enhance business workflow efficiency, ensuring systems are robust and secure.

As a Backend Software Engineer II, you will develop web services primarily using Python and PostgreSQL, while collaborating closely with product teams to enhance the digital life insurance enrollment experience. You will ensure the quality of services and participate in planning product roadmaps.

As a Senior Security Architect, you'll design and implement security solutions, manage architecture frameworks, and enhance security protocols across teams, while ensuring compliance with regulations.

Develop and support web services for digital life insurance enrollment, collaborating closely across teams to enhance platform capabilities. Responsible for the quality and maintainability of services, utilizing Python and Java, among other technologies.

As a Senior Data Engineer, you will design scalable data solutions, build data pipelines, and support MLOps and Generative AI development while mentoring junior engineers.

As a Senior Technical Solutions Engineer, you will collaborate with engineers and product teams to address and resolve bugs, oversee product stability, mentor peers, and align with partners for technical success.

Rapidly prototype AI-driven insurance products and own end-to-end delivery of prototypes/MVPs. Build full-stack applications (usable UIs, APIs, integrations), provision and manage cloud infrastructure, leverage AI tooling to accelerate development, iterate quickly, and collaborate with product and domain experts to define production readiness.