Senior Infrastructure Engineer
Join Dataiku as a Senior Infrastructure Engineer to design and manage robust data platforms and production environments for AI success.
Posted by employer 2 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In this role, the Senior Infrastructure Engineer at Dataiku focuses on designing, deploying, and managing internal data platforms that support the company's core product. Key skills include proficiency in infrastructure automation with tools like Terraform, expertise in container technologies, and advanced scripting in Python, alongside a solid background in Linux systems. This position is ideal for experienced professionals who thrive in collaborative environments and are adept at solving complex technical challenges. Dataiku emphasizes a culture of innovation and teamwork, making it a dynamic place for those looking to impact the AI landscape.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Dataiku's career page.
- Dataiku has 27 other open roles including Senior Data Scientist, Senior Data Scientist (German-speaking), Data Scientist.
- 6527 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- Is the Senior Infrastructure Engineer role remote?
- It's hybrid — Dataiku expects some on-site time in France, Remote.
- Where is the role based?
- Dataiku is hiring for this position in France, Remote.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Ansible, Azure, Chef, GCP, Go.
- What seniority level is this role?
- Dataiku targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Infrastructure Engineer role at Dataiku.
From the original posting
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.
The Platforms Infrastructure team is seeking a driven individual to join us in addressing our evolving infrastructure challenges. At Dataiku, our mission is to architect, deploy, and maintain robust data platforms centered around our core product. We also provide industrialization and production configurations for mission-critical web services.
As domain experts, we proactively develop and disseminate reference infrastructure, best practices, knowledge, and tooling across all technical teams at Dataiku. This role encompasses a broad spectrum of responsibilities, from leveraging high-level managed services at hyperscalers to performing in-depth, low-level Linux debugging.
As a key contributor to the deployment of our core product, the team actively participates in development initiatives related to infrastructure and Linux system interactions.
We foster a collaborative environment and seek a like-minded individual to engage in highly collaborative projects. Effective communication skills are essential for interacting with diverse teams throughout the company.
This position is based in Paris and may be considered for remote work.
Your responsibilities:
- Design, deploy, and manage our core product based internal data platforms.
- Design, deploy, and configure production environments for multiple web services.
- Collaborate with teams to architect technical solutions, and subsequently deploy and manage those solutions.
- Develop core product features around cloud services and Linux integration.
- Guarantee optimal service capacity and robust security for all running workloads and services.
The role might be a good fit if you have:
- Proficiency in infrastructure automation using tools such as Terraform.
- Expertise in container technologies and managed Kubernetes clusters.
- Advanced scripting skills in Python.
- Field experience with Linux operating systems and low-level system troubleshooting
- Practical experience in networking and compute within a major cloud provider (AWS, Azure, or GCP).
- Demonstrated resilience in resolving complex technical challenges, with a relentless pursuit of root cause analysis.
Bonus point for any of these:
- Experience in implementing authentication and authorization systems, including LDAP, SAML, and OAuth2.
- Experience with configuration management tools as Ansible, Puppet or Chef.
- Knowledge of additional programming languages, particularly Go, considered a strong asset.
- Experience in networking and compute across multiple cloud providers (AWS, Azure, or GCP).