About the Role
As 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.
This 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.
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
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
Preferred Qualifications
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
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
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal
E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Classification: Exempt
Keeper Candidate Privacy Notice
This 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).
1. Data We Collect
Information You provide
Contact details, CV/resume, cover letter
Employment history, qualifications, work eligibility
Application responses and uploaded documents
Information We generate
Interview notes, assessments, communications
Scheduling information
Information From Others
Recruiter/referral information who submit your profile
References (with your consent, before final offer)
Public professional profiles
Background verification (post offer)
Voluntary Diversity and Equal Opportunity Information
We 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
2. How We Use Your Data
Assess your application and suitability
Manage interviews and recruitment workflow
Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)
Comply with employment law obligations
3. Legal Basis
Legitimate Interests (recruitment management, security and integrity of the hiring process)
Contracting steps (for progressed candidates)
Legal and regulatory compliance obligations; explicit consent where required
4. Who We Share Information With
Internal
HR, hiring managers, interviewers*, IT support for system administration
Note - diversity and equal opportunity data is not shared with hiring managers.
Third Parties
Service providers who assist with
Applicant tracking, recruitment systems and assessment providers
Background verification vendors (post offer)
Recruitment agencies (where applicable)
Tools to support communication, collaboration and to securely store your data
Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.
5. International Transfers
Your 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.
6. Security
We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.
7. Retention
We keep your data for 24 months from your last application activity, then delete or anonymize it.
Exceptions
You opt into our talent database for further retention by providing consent (extended retention)
You're hired (transfers to employee records)
8. Your Rights
You have the following rights and can contact us at the email below to exercise them:
Access, correct, or delete your data, subject to applicable law and retention requirements
Object to or restrict processing
Withdraw consent (where applicable)
Request data portability
Lodge a complaint with your data protection authority
If 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.
When 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.
9. Automated Decisions
Keeper does not make hiring decisions using solely automated processing.
10. Contact - Candidates can send privacy questions to: privacy@keepersecurity.com
