Kindo

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About
Kindo is a Gen AI tool custom-built for DevSecOps. It uses AI to automate tedious manual tasks in workflows and runbooks for incident response, vulnerability assessment, and remediation. It integrates with existing systems like ServiceNow, Github, and Jira, and leverages data from SIEMs and IaC. Kindo offers no-code AI agents accessible via an OpenAI-compliant API. Security features include DLP filters, ACLs, and SSO. The platform offers free and enterprise pricing plans.
Platform
Features
• access control lists (acl)
• data loss prevention (dlp) filters
• openai compliant api
• no-code ai agents
• single sign on (sso) support
• integration with siem data and infrastructure as code (iac)
• automation in existing systems (servicenow, github, jira, etc.)
• gen ai-powered runbook automations
Pricing Plans
Free
Free Plan• All Integrated AI Models
• SaaS Integrations (with 50 asset cap)
• Storage Integration (Drive, One Drive, Box)
• Monthly Credit Rollover
• Standard Chat Support
Enterprise
Unknown Price• All Integrated AI Models
• Customized, Shared Credit Pool
• SaaS Integrations (unlimited, but uses Credits)
• Storage Integration (Drive, One Drive, Box)
• Monthly Credit Rollover
• Enhanced Support, with Customer Success
• Org Management, with Agent, Chat Sharing
• IT Security Access and DLP Controls
• Enterprise Audit Logs
Job Opportunities
DevSecOps Engineer
Kindo uses Gen AI to automate DevSecOps tasks, integrating with existing systems and offering robust security features.
Benefits:
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Unlimited vacation and paid time off policies
Flexible and dynamic work environment with opportunities for occasional remote work
Opportunity to work with talented engineers and innovators
Education Requirements:
Bachelor's degree in Computer Science from a top university
Experience Requirements:
5+ years of experience
Other Requirements:
Onsite presence in Venice, CA (4 days a week in the office hybrid)
Strong personal excitement and passion for AI technologies
Responsibilities:
Maintain uptime and availability of Kindo systems
Lead incident response, conduct root cause analysis, and implement continuous improvement processes
Assist development team with automation
Optimize and maintain system for peak performance and reliability
Architect and secure infrastructure following industry-leading standards for authorization and security, ensuring robust protection
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ML Architect/Applied AI Researcher
Kindo uses Gen AI to automate DevSecOps tasks, integrating with existing systems and offering robust security features.
Benefits:
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Unlimited vacation and paid time off policies
Flexible and dynamic work environment with opportunities for occasional remote work
Opportunity to work alongside a talented team of engineers and innovators
Education Requirements:
PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent experience
Experience Requirements:
Minimum of 7 years of experience in AI research with a strong focus on deep learning, generative models, and large language models
Responsibilities:
Lead the development, implementation, and continuous improvement of cutting-edge AI and machine learning models
Apply the latest research and industry framework advances
Act as a productive individual contributor
Enhance fine tuning models using private customer data turnkey
Research, experiment, and define the approach for extending the product capabilities using agents
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Senior Software Engineer
Kindo uses Gen AI to automate DevSecOps tasks, integrating with existing systems and offering robust security features.
Benefits:
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Unlimited vacation and paid time off policies
Flexible and dynamic work environment with opportunities for occasional remote work
Opportunity to work alongside a talented team of engineers and innovators
Education Requirements:
Bachelor's degree in Computer Science (or related field)
Experience Requirements:
3+ years of experience in software engineering
Other Requirements:
Onsite in Venice CA (4 days a week in the office hybrid)
Some familiarity with AI concepts, tooling, frameworks, prompting, and/or open source models
Strong personal excitement and passion for AI technologies
Responsibilities:
Develop and maintain our generative AI platform, ensuring high performance and responsiveness
Collaborate cross-functionally to define, design, and ship new features
Write clean, maintainable, and high performance code, adhering to best practices
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