Full-Time Senior Infrastructure Engineer

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents.

Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Our mission at Dataiku is to enable our customers to bring large-scale data analytics and AI technologies into a centralized and easy-to-use platform. To reach that goal, we are looking for highly motivated engineers to design, scale, and maintain our internal and customer-facing infrastructures.

Current Technical Stack:

• AWS
• Azure
• GCP

Tools:

• Terraform
• Ansible
• Kubernetes
• Python

Key Responsibilities:

• Update, scale, and maintain configuration management stack.
• Update and maintain multi-Cloud Infrastructure as Code repository.
• Update, scale, and maintain Kubernetes clusters (including HA, monitoring, self-healing).
• Expand and maintain CI/CD pipelines for internal and customer applications.
• Improve monitoring by scaling infrastructure, collecting metrics, and managing alerts.
• Develop automation tools for infrastructure scaling.
• Propagate user identities, manage access control, and optimize Cloud resource management.
• Apply Cloud security best practices.

Required Skills:

• Experience with configuration management tools (Chef, Ansible, Puppet, SaltStack).
• Terraform experience.
• UNIX-like system knowledge, troubleshooting, shell scripting.
• AWS production experience (monitoring, HA designs, Lambda, RDS, Load Balancing, CDN, VPC).
• CI/CD pipeline design.
• Experience in environments prioritizing automation.
• Application development (ideally Python).
• Strong problem-solving skills.
• Excellent documentation and alert creation skills.
• Strong communication and collaboration skills.

Bonus Skills:

• Grafana Labs monitoring stack
• Web application design
• Golang and JavaScript/TypeScript

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