What are the responsibilities and job description for the DevSecOps Engineer position at Kindo?
Job Title : DevSecOps Engineer
Company Overview
Our mission is to be the most trusted AI company. We are an innovative startup at the forefront of the AI transformation, building a secure and controllable way for enterprises to adopt AI. Giving enterprises full control over their data and how AI interacts with it is core to our thesis and product differentiation. We also ship an end-user product that supports different AI interface modalities, including chat, the power to securely use private data through SaaS integrations, the ability to build agents and assistants, and the ability to build multi-step workflows that automate mundane tasks. Positioned at the forefront of a major technical revolution, we are on track to be one of the great companies in the AI industry. Join us on this exciting journey and make a lasting impact on the future of AI technology.
Job Description
Responsibilities
Maintain uptime and availability of the Kindo systems
Lead incident response, conduct root cause analysis, and implement continuous improvement processes
Assist the development team with automation to minimize human error during releases
Optimize and maintain the system for peak performance and reliability
Architect and secure infrastructure following industry-leading standards for authorization and security, ensuring robust protection
Deploy and manage on-premises software environments
Manage rollout of new services and standardize infrastructure setup to automate spinning up microservices
Design resilient systems, scaling, and high-availability architectures
Secure and maintain role-based access to our systems, ensuring only appropriate personnel have access to production data
Conduct penetration tests and proactively identify, prevent, detect, and patch vulnerabilities
Manage LLMs and other AI systems in production including optimizing deployments of LLM inference and evaluation of different deployment options such as different GPUs, models, and quantization techniques
Contribute to product features that enhance DevSecOps automation within Kindo
Stay current with emerging trends and best practices in DevSecOps and cloud security
Required Qualifications
5 years of experience
Bachelor's degree in Computer Science from a top university
Strong experience in DevSecOps practices and tools
Proficiency in Infrastructure as Code (Terraform)
Extensive knowledge of Google Cloud Platform (GCP), AWS, and Azure
Expertise in Kubernetes, including Helm, Linkerd, and Nginx ingress
Experience with Observability / Monitoring tools (Open Telemetry, Grafana, Prometheus)
Familiarity with GitHub Actions and ArgoCD
Strong understanding of security principles and best practices in cloud environments
Excellent problem-solving skills and ability to work in a fast-paced environment
Strong communication skills and ability to collaborate effectively with cross-functional teams
Experience running LLMs in production and general MLOps
Experience with operating infrastructure in regulated environments (e.g. : SOC2, FedRAMP, GDPR)
Onsite presence in Venice, CA (4 days a week in the office hybrid).
Strong personal excitement and passion for AI technologies
Preferred Qualifications
Graduate degree in Computer Science or related field
Certifications in cloud security or DevSecOps
Experience managing security operations at a large tech company (e.g. Google, AWS, Apple, Microsoft)
Experience with a well known security company (e.g. Palo Alto, Crowstrike, Rapid7, etc)
Experience with AI / ML infrastructure and security considerations
Familiarity with compliance frameworks (e.g., SOC 2, HIPAA, GDPR)
What We Offer
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Unlimited vacation and paid time off policies
A flexible and dynamic work environment with opportunities for occasional remote work
The opportunity to work alongside a talented team of engineers and innovators
A chance to be part of a groundbreaking company shaping the future of generative AI
Company Culture
Start-up and entrepreneurial mindset : High-energy, passionate, and willing to put in extra effort to ensure success, while maintaining a healthy work-life balance
Strong ownership culture : Complete ownership of core responsibilities, while welcoming ideas and contributions from everyone
Fast-paced and action-oriented : Focus on high velocity, minimal processes, and utilizing existing solutions to maximize productivity
Empathy, open-mindedness, and constructive feedback : Respect diverse working styles, encourage data-informed decisions, and build understanding through direct communication
Collaboration and support : Foster an environment where employees work together, rely on each other, and support one another through challenges
If you are a passionate and skilled DevSecOps Engineer looking to make a meaningful impact in the AI industry, we would love to hear from you. Apply now and join our team of visionaries in shaping the future of AI technology.
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