DevOps Engineer

Job Description

Job Description

Mission

4Minds is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in real time and can be deployed on-prem or your cloud provider.

Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG-based systems.

Role Overview

We're seeking a DevOps Engineer to build and maintain the infrastructure that powers our enterprise AI platform across cloud and on-premises environments. You'll design scalable deployment pipelines, ensure system reliability, and enable our engineering teams to ship faster while maintaining enterprise-grade security and compliance standards.

You'll take on the infrastructure lifecycle from provisioning through monitoring for our frontend and backend of our platform and support our AI teams to optimize how we build, deploy, and run AI workloads at scale. Our hybrid deployment model, supporting both cloud and on-prem installations, creates unique challenges that require creative solutions.

Reporting to our CTO, you'll have significant autonomy to collaborate on and establish DevOps practices, select tooling, and shape how 4Minds delivers reliable, secure AI infrastructure to enterprise customers.

Key Responsibilities

• Design, implement, and maintain CI / CD pipelines for automated building, testing, and deployment of AI platform components
• Manage infrastructure-as-code across AWS, GCP, Azure, and on-premises environments using Terraform, Pulumi, or similar tools
• Build and maintain Kubernetes clusters optimized for AI / ML workloads, including GPU scheduling and resource management
• Implement monitoring, logging, and alerting systems to ensure platform reliability and rapid incident response
• Develop and enforce security best practices, including secrets management, access controls, and compliance automation
• Collaborate with engineering teams to containerize applications and optimize deployment workflows
• Create and maintain documentation for infrastructure, deployment procedures, and runbooks
• Automate operational tasks to reduce toil and improve team velocity
• Support enterprise customer deployments, including on-premises installations with unique infrastructure requirements
• Optimize infrastructure costs while maintaining performance and reliability standards

Required Qualifications

Preferred Qualifications

Compensation

Benefits

Professional Development

Work Environment

Process

We like to be efficient but do our due diligence. Here’s what you’ll expect from us :

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4MindsAI is an equal opportunity employer. We value diversity and are committed to create an inclusive environment for all employees.

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