{"id":2105552,"url":"https://alion.io/job/keeper-security-senior-software-engineer-ai-platform-integration","title":"Senior Software Engineer, AI Platform Integration","company":{"id":5375,"name":"Keeper Security","domain":"keepersecurity.com","url":"https://alion.io/company/keepersecurity","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":14,"ghost_share":0,"stale_share":0.643,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":257000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1129},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"JavaScript","optional":false},{"name":"Kotlin","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rust","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Zero Trust","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AWS","optional":true},{"name":"Linux","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-10-08T20:13:52Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T02:05:09Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Description\nKeeper Security is hiring a Senior Software Engineer, AI Platform Integration to help accelerate AI initiatives across Keeper’s product portfolio.This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas.\nKeeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help bring secure, production-ready AI capabilities to life across Keeper’s platform.\nAbout Keeper\nKeeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at KeeperSecurity.com.\nAbout the Role\nAs a Senior Software Engineer, AI Platform Integration, you will work across Keeper’s product portfolio to build the application, platform and integration capabilities required by our AI initiatives. You will partner closely with the AI team and product engineering teams to remove technical dependencies, extend existing services and deliver production-ready AI functionality across products such as Vault, Admin Console, PAM Gateway and other Keeper platforms.\nThis is a hands-on full-stack engineering role, not a research or model-training position. You will contribute directly to existing frontend and backend codebases, build APIs and shared services, integrate AI-driven capabilities into production workflows and help ensure those integrations remain secure, reliable and consistent with Keeper’s zero-knowledge architecture.The ideal candidate is a strong senior software engineer who can quickly understand unfamiliar systems, move across multiple technologies and product areas and use modern AI development tools effectively to accelerate implementation, debugging and delivery.\nResponsibilities\nDesign and build full-stack capabilities that support AI initiatives across Keeper’s product portfolio\nWork across multiple product codebases to identify and resolve technical dependencies affecting AI development\nDevelop backend services, APIs and integration layers that connect AI capabilities with existing Keeper applications\nBuild or modify frontend experiences that expose AI-powered functionality to end users\nPartner closely with AI engineers to translate model, agent and platform requirements into production software\nExtend shared services and platform capabilities to support reusable AI integrations across multiple products\nIntegrate LLM-powered services, agents, tool-calling workflows or related AI capabilities into secure production environments\nDesign integrations with attention to execution safety, reliability, observability and predictable system behavior\nTroubleshoot complex issues involving APIs, authentication, authorization, backend services, user interfaces and cross-product data flows\nContribute directly to existing codebases while following established engineering standards and architecture patterns\nEvaluate technical trade-offs and identify pragmatic solutions that reduce cross-team dependencies and accelerate delivery\nMaintain strong security, privacy and zero-knowledge principles when implementing AI-enabled functionality\nParticipate in architecture reviews, technical design discussions and code reviews across multiple engineering teams\nBuild automated tests and integrate new functionality into CI/CD workflows to ensure reliability and release readiness\nMonitor and improve the performance, latency, reliability and operational behavior of AI-integrated features\nMaintain clear technical documentation for integrations, shared services and implementation decisions\nUse AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot or similar platforms extensively to improve coding, debugging, research, testing and documentation\nRequirements\n7+ years of professional software engineering experience\nStrong full-stack development experience across backend and frontend systems\nStrong experience building production backend services, APIs and distributed application functionality\nExperience with modern frontend development using JavaScript or TypeScript and frameworks such as React\nStrong experience with at least one backend language such as Rust, Java, Kotlin, C#, Go or Python, with Rust experience strongly preferred \nProven ability to work effectively across multiple codebases, technologies and product architectures\nExperience integrating complex systems through APIs, services, messaging or similar application integration patterns\nStrong understanding of software architecture, authentication, authorization, data flows and secure application design\nExperience building and shipping production software in SaaS, cybersecurity or enterprise environments\nStrong debugging and problem-solving skills across frontend, backend and integration layers\nExperience with Git-based development workflows, automated testing and CI/CD pipelines\nAbility to quickly understand unfamiliar systems and contribute meaningful production code across different product areas\nStrong understanding of secure software development practices\nStrong written and verbal communication skills and ability to collaborate effectively across AI, Product and Engineering teams\nDemonstrated ability and willingness to use modern AI-assisted development tools effectively for coding, debugging, research, testing and documentation\nBachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experience\nPreferred Qualifications\nExperience integrating LLM-powered or AI-driven capabilities into production software\nFamiliarity with AI APIs, agentic workflows, tool calling, prompt engineering or context management\nFamiliarity with Model Context Protocol (MCP) or similar AI integration patterns\nExperience with Python-based AI services or automation\nExperience working across large multi-product SaaS platforms\nExperience building platform or shared services used by multiple product teams\nFamiliarity with latency, cost, observability and reliability considerations in production AI systems\nExperience with cybersecurity, identity, privileged access management or other security-sensitive software\nFamiliarity with cloud infrastructure and services such as AWS\nExperience with microservices, event-driven architecture or distributed systems\nFamiliarity with Windows and Linux operating environments\nBenefits\nMedical, Dental & Vision (Inclusive of domestic partnerships)\nEmployer Paid Life Insurance & Employee/Spouse/Child Supplemental life\nVoluntary Short/Long Term Disability Insurance\n401k (Roth/Traditional)\nA generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)\nAbove market annual bonuses\nKeeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal \nE-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.\nClassification: Exempt\nKeeper Candidate Privacy Notice\nThis notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan).\n1. Data We Collect\nInformation You provide:\nContact details, CV/resume, cover letter\nEmployment history, qualifications, work eligibility\nApplication responses and uploaded documents\nInformation We generate:\nInterview notes, assessments, communications\nScheduling information\nInformation From Others:\nRecruiter/referral information who submit your profile\nReferences (with your consent, before final offer)\nPublic professional profiles\nBackground verification (post offer)\nVoluntary Diversity and Equal Opportunity Information\nWe may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements\n2. How We Use Your Data\nAssess your application and suitability\nManage interviews and recruitment workflow\nConsider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)\nComply with employment law obligations\n3. Legal Basis\nLegitimate Interests (recruitment management, security and integrity of the hiring process)\nContracting steps (for progressed candidates)\nLegal and regulatory compliance obligations; explicit consent where required\n4. Who We Share Information With\nInternal:\nHR, hiring managers, interviewers*, IT support for system administration\n*Note - diversity and equal opportunity data is not shared with hiring managers.\nThird Parties:\nService providers who assist with:\nApplicant tracking, recruitment systems and assessment providers\nBackground verification vendors (post offer)\nRecruitment agencies (where applicable)\nTools to support communication, collaboration and to securely store your data\nKeeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.\n5. International Transfers\nYour data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.\n6. Security\nWe implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.\n7. Retention\nWe keep your data for 24 months from your last application activity, then delete or anonymize it.\nExceptions:\nYou opt into our talent database for further retention by providing consent (extended retention)\nYou're hired (transfers to employee records)\n8. Your Rights\nYou have the following rights and can contact us at the email below to exercise them:\nAccess, correct, or delete your data, subject to applicable law and retention requirements\nObject to or restrict processing\nWithdraw consent (where applicable)\nRequest data portability\nLodge a complaint with your data protection authority\nIf you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law. \nWhen you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.\n9. Automated Decisions\nKeeper does not make hiring decisions using solely automated processing.\n10. 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