Senior Software Engineer

Responsibilities

• Design and build full-stack capabilities supporting AI initiatives across Keeper’s product portfolio.
• Develop backend services, APIs, integration layers, shared services, and frontend experiences for AI-enabled functionality.
• Integrate LLM-powered services, agents, tool-calling workflows, and related AI capabilities into secure production environments.
• Partner with AI and product engineering teams to translate model, agent, and platform requirements into production software.
• Troubleshoot cross-product issues involving APIs, authentication, authorization, backend services, user interfaces, and data flows.
• Improve execution safety, reliability, observability, performance, latency, and operational behavior of AI-integrated features.
• Contribute to architecture reviews, technical designs, code reviews, automated testing, CI/CD workflows, and technical documentation.
• Use AI-assisted development tools for coding, debugging, research, testing, and documentation.

Requirements

• 7+ years of professional software engineering experience.
• Strong full-stack development experience across backend and frontend systems, including production backend services, APIs, and distributed applications.
• Experience with JavaScript or TypeScript and frontend frameworks such as React.
• Strong experience with at least one backend language such as Rust, Java, Kotlin, C#, Go, or Python; Rust is strongly preferred.
• Experience working across multiple codebases, integrating complex systems, and building production software in SaaS, cybersecurity, or enterprise environments.
• Understanding of software architecture, authentication, authorization, data flows, secure application design, and secure software development practices.
• Experience with Git-based workflows, automated testing, and CI/CD pipelines.
• Ability to understand unfamiliar systems and contribute production code across different product areas.
• Strong written and verbal communication and effective collaboration across AI, Product, and Engineering teams.
• Demonstrated ability and willingness to use modern AI-assisted development tools effectively.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Preferred qualifications include experience with LLM-powered capabilities, AI APIs, agentic workflows, tool calling, prompt engineering, context management, Model Context Protocol, Python-based AI services, platform or shared services, production AI reliability considerations, cybersecurity software, AWS, microservices, event-driven architecture, distributed systems, Windows, or Linux.

Benefits

• Medical, dental, and vision coverage, including domestic partnerships.
• Employer-paid life insurance and supplemental life insurance options.
• Voluntary short- and long-term disability insurance.
• 401(k) plans with Roth and traditional options.
• Generous PTO, including paid bereavement and jury duty leave.
• Above-market annual bonuses.
• 100% remote position, with a hybrid schedule available for candidates in the El Dorado Hills, California, or Chicago, Illinois metro areas.