Keeper Security - Senior Software Engineer, AI Platform Integration
Requirements
• 7+ years of professional software engineering experience • Strong full-stack development experience across backend and frontend systems • Strong experience building production backend services, APIs and distributed application functionality • Experience with modern frontend development using JavaScript or TypeScript and frameworks such as React • Strong experience with at least one backend language such as Rust, Java, Kotlin, C#, Go or Python, with Rust experience strongly preferred • Proven ability to work effectively across multiple codebases, technologies and product architectures • Experience integrating complex systems through APIs, services, messaging or similar application integration patterns • Strong understanding of software architecture, authentication, authorization, data flows and secure application design • Experience building and shipping production software in SaaS, cybersecurity or enterprise environments • Strong debugging and problem-solving skills across frontend, backend and integration layers • Experience with Git-based development workflows, automated testing and CI/CD pipelines • Ability to quickly understand unfamiliar systems and contribute meaningful production code across different product areas • Strong understanding of secure software development practices • Strong written and verbal communication skills and ability to collaborate effectively across AI, Product and Engineering teams • Demonstrated ability and willingness to use modern AI-assisted development tools effectively for coding, debugging, research, testing and documentation • Bachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experience • Experience integrating LLM-powered or AI-driven capabilities into production software • Familiarity with AI APIs, agentic workflows, tool calling, prompt engineering or context management • Familiarity with Model Context Protocol (MCP) or similar AI integration patterns • Experience with Python-based AI services or automation • Experience working across large multi-product SaaS platforms • Experience building platform or shared services used by multiple product teams • Familiarity with latency, cost, observability and reliability considerations in production AI systems • Experience with cybersecurity, identity, privileged access management or other security-sensitive software • Familiarity with cloud infrastructure and services such as AWS • Experience with microservices, event-driven architecture or distributed systems • Familiarity with Windows and Linux operating environments
Responsibilities
• Design and build full-stack capabilities that support AI initiatives across Keeper’s product portfolio • Work across multiple product codebases to identify and resolve technical dependencies affecting AI development • Develop backend services, APIs and integration layers that connect AI capabilities with existing Keeper applications • Build or modify frontend experiences that expose AI-powered functionality to end users • Partner closely with AI engineers to translate model, agent and platform requirements into production software • Extend shared services and platform capabilities to support reusable AI integrations across multiple products • Integrate LLM-powered services, agents, tool-calling workflows or related AI capabilities into secure production environments • Design integrations with attention to execution safety, reliability, observability and predictable system behavior • Troubleshoot complex issues involving APIs, authentication, authorization, backend services, user interfaces and cross-product data flows • Contribute directly to existing codebases while following established engineering standards and architecture patterns • Evaluate technical trade-offs and identify pragmatic solutions that reduce cross-team dependencies and accelerate delivery • Maintain strong security, privacy and zero-knowledge principles when implementing AI-enabled functionality • Participate in architecture reviews, technical design discussions and code reviews across multiple engineering teams • Build automated tests and integrate new functionality into CI/CD workflows to ensure reliability and release readiness • Monitor and improve the performance, latency, reliability and operational behavior of AI-integrated features • Maintain clear technical documentation for integrations, shared services and implementation decisions • Use AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot or similar platforms extensively to improve coding, debugging, research, testing and documentation
Benefits
• Medical, Dental & Vision (Inclusive of domestic partnerships) • Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life • Voluntary Short/Long Term Disability Insurance • 401k (Roth/Traditional) • A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc) • Above market annual bonuses
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