mid software engineering Infrastructure Engineer ic

Skills

Python Bash AWS GCP Azure Kubernetes Terraform Ansible Grafana Linux Networking Configuration Management Machine Learning Infrastructure as Code Incident Response Automation Cloud Computing Data Analytics AI Agents

AI Summary

Mid-level Infrastructure Engineer operating and maintaining UNIX/Linux systems in AWS, Azure, and GCP cloud environments. Troubleshoots infrastructure issues, manages Kubernetes clusters, and supports Infrastructure as Code tools like Terraform and Ansible. Requires hands-on cloud infrastructure experience and Linux systems knowledge.

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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

How you’ll make an impact

At Dataiku, our mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized, easy-to-use platform. To support this mission, we are looking for an Infrastructure Engineer to help operate, maintain, and troubleshoot our internal and customer-facing infrastructure.

You will work closely with experienced infrastructure and platform engineers, contributing to the reliability and day-to-day operations of our systems. This role is hands-on and operationally focused, with a strong emphasis on UNIX/Linux systems and cloud infrastructure.

Our infrastructure primarily runs on AWS, with some components on Azure and GCP. The tooling environment includes Terraform, Ansible, Kubernetes, and Python, though deep expertise in all of these is not required at entry.

What you’ll work on

Operate, maintain, and troubleshoot UNIX/Linux systems running in cloud environments
Support and maintain existing configuration management and Infrastructure as Code setups
Assist with the operation of cloud-based infrastructure, including virtual machines, networking components, and managed services
Help monitor system health and performance, investigate alerts, and participate in incident response and root cause analysis
Perform routine infrastructure updates and maintenance to ensure systems remain secure, reliable, and up to date
Support Kubernetes clusters and containerized workloads, primarily from an operational and troubleshooting perspective
Collaborate with senior engineers to improve automation, monitoring, and operational practices
Document procedures, operational runbooks, and troubleshooting steps to improve team efficiency

What you need to be successful

Experience working with UNIX/Linux systems, including hands-on troubleshooting and shell scripting
Understanding of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) in cloud or data-center environments
Basic experience operating infrastructure in a cloud environment (preferably AWS), including compute, networking, and monitoring services
Basic scripting or development experience (e.g., Python)
Clear communication skills and a collaborative, respectful approach to working with teammates
Willingness to learn, ask questions, and grow technical depth over time

Nice to have

Exposure to Infrastructure as Code tools such as Terraform
Familiarity with at least one configuration management or automation tool (e.g., Ansible, Chef, Puppet, SaltStack)
Familiarity with Kubernetes or container-based environments
Experience with monitoring tools such as Grafana or similar platforms
Ability to investigate incidents, follow runbooks, and escalate appropriately when needed
Interest in automation and reliability, even if you have not yet designed large-scale systems yourself #LI-Hybrid #LI-FR1

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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