Top Tech Jobs & Startup Jobs in Austin, TX

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 Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The AI-Native Quality Engineer will establish software validation capabilities using AI and automation. Responsibilities include automation, specification clarity, and exploring AI in quality engineering, requiring strong programming and API experience.

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.

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.

Develop core backend services using Golang and PostgreSQL. Engage in peer code reviews, ensure software security, and advocate for CI/CD practices.

The Analytics Manager will lead a team of analysts, focusing on data product delivery in the life insurance sector, while ensuring quality standards and mentoring team members.

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.

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.