Senior Software Engineer, AI Platform Integration

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Illinois – Remote

🏄 California – Remote 🌽 Illinois – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keeper Security, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round - Keeper Security on 2023-05

Cybersecurity • SaaS • Enterprise

Keeper Security, Inc. is a cybersecurity company that delivers cloud-first, zero-trust privileged access management (PAM) and password management solutions. Its KeeperPAM platform, secrets manager, endpoint privilege manager, and related products secure credentials, sessions, and remote access for enterprises, MSPs, and public-sector organizations using end-to-end encryption and a zero-knowledge architecture. Keeper operates primarily as a SaaS provider, emphasizes stringent compliance (FedRAMP, ISO, SOC 2, FIPS, PCI DSS, HIPAA), and is focused on preventing data breaches and managing privileged access across large-scale environments.

📋 Description

• 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

🎯 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

🏖️ 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