Annuity and retirement insurance provider with 90-year operating history
SILAC is a privately held insurance company focused on Fixed Index Annuities and Multi-Year Guaranteed Annuities for retirement planning. The tech stack—SQL Server, Java, C#, Python, TypeScript, AWS, GCP, Azure, Docker, Kubernetes—reflects a mature, multi-cloud infrastructure supporting compliance-heavy insurance operations. Current hiring is concentrated in support and audit roles, while active projects center on advisor acquisition and go-to-market strategy, suggesting a push to scale distribution channels. Internal pain points cluster around fraud detection, privacy compliance, and IT risk management—typical friction points for regulated financial services.
SILAC Life Insurance Company has operated since 1935 from Salt Lake City, Utah, as a privately held provider of retirement and annuity products. The company specializes in Fixed Index Annuities and Multi-Year Guaranteed Annuities designed for individual retirement planning. With 201–500 employees, SILAC maintains licensing in California (license #6244-8) and operates across the United States and India. The organization is currently hiring across support, audit, marketing, and sales functions, with a focus on junior-to-mid-level roles and one VP-level opening.
SQL Server, IBM, Java, C#, Python, TypeScript, AWS, GCP, Azure, Docker, Kubernetes, and Azure AD. Development tools include IntelliJ IDEA, Jira, Confluence, Smartsheet, Asana, and Cypress for testing.
Salt Lake City, Utah. The company is licensed as SILAC Life Insurance Company in California (license #6244-8) and operates as a privately held firm founded in 1935.
SILAC Insurance Company's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.