[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Dataiku logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/5a9d57bf-221.webp)](https://jobicy.com/company/dataiku.md)Remote opportunity at[Dataiku](https://jobicy.com/company/dataiku.md) # Senior Infrastructure Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/dataiku.md)Share7 Sep 2026Published34Listing views2Application actions7 Oct 2026Apply before Opportunity details ## About this role. AI SummaryDataiku is hiring a Senior Infrastructure Engineer to design, deploy, and operate internal data platforms and production environments for web services. The role spans cloud-managed services, Kubernetes, Terraform automation, Linux troubleshooting, networking, and product-level cloud and Linux integrations. The engineer will collaborate closely with technical teams to architect solutions while ensuring capacity, security, and operational reliability. This is a senior, hands-on infrastructure role based in Paris with potential remote-work consideration. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires deep cross-functional infrastructure expertise, including cloud platforms, Kubernetes, automation, Linux internals, networking, and root-cause investigation. Supporting mission-critical services and contributing to core product integrations creates substantial technical complexity and operational accountability. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$165,000US market range$140k–$200k0$220k AI insightNo salary was disclosed in the posting. For the US market, this is an estimated annual base-salary range for a senior infrastructure/DevOps engineer with strong cloud, Kubernetes, Terraform, Linux, and production-operations expertise; actual pay may vary by location, scope, and total-compensation structure. ## Core skills Skills and capabilities most closely associated with this opportunity. [Infrastructure Engineering](https://jobicy.com/jobs?search_keywords=Infrastructure%20Engineering.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Cloud Computing](https://jobicy.com/jobs?search_keywords=Cloud%20Computing.md)[Linux](https://jobicy.com/jobs?search_keywords=Linux.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Networking](https://jobicy.com/jobs?search_keywords=Networking.md)[AWS Azure GCP](https://jobicy.com/jobs?search_keywords=AWS%20Azure%20GCP.md)[Production Operations](https://jobicy.com/jobs?search_keywords=Production%20Operations.md) Sample interview questionsHow would you design a production Kubernetes platform for a mission-critical data service?I would begin with workload requirements, availability targets, security boundaries, and expected growth. I would use infrastructure as code, managed Kubernetes where appropriate, separated environments, autoscaling, observability, network policies, secrets management, tested backup and recovery procedures, and documented operational runbooks. Describe your approach to investigating a difficult Linux performance incident. I first define the impact and establish a timeline using metrics, logs, and recent changes. I then isolate likely resource bottlenecks across CPU, memory, disk I/O, network, processes, and kernel behavior, validate hypotheses with targeted tooling, mitigate customer impact, and complete a root-cause review with preventive actions. How have you used Terraform safely across multiple teams and environments? I use reusable modules, version pinning, remote state with controlled access and locking, and separate state boundaries for environments or services. Changes should be reviewed through pull requests and CI plans, with policy checks, clear ownership, and careful handling of sensitive values. What considerations matter when supporting applications across AWS, Azure, and GCP? I focus on portable architectural patterns while respecting provider-specific capabilities and operational differences. Key considerations include identity integration, networking, observability, encryption, cost controls, managed-service trade-offs, deployment automation, and consistent security and reliability standards. How would you work with product engineers to add cloud-service or Linux-level capabilities to a core product? I would clarify user needs, operational constraints, and support expectations early, then propose an interface and implementation approach that is secure, observable, and maintainable. I would collaborate through design reviews, incremental delivery, automated testing, documentation, and feedback from deployment and support teams. [Dataiku](https://www.dataiku.com/?utm_source=newswire&utm_medium=press-release&utm_campaign=PlatformforAISuccess) 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](https://blog.dataiku.com/?_gl=1*17edvf4*_ga*MjA1Mjk5NzY4OC4xNjY3MjMyMDUz*_ga_B3YXRYMY48*MTY2OTA1MDY5NS4xMi4xLjE2NjkwNTA2OTguNTcuMC4w), [LinkedIn](https://www.linkedin.com/company/dataiku/), [X](https://x.com/dataiku), and [YouTube](https://www.youtube.com/dataiku). 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). 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](https://www.linkedin.com/company/dataiku/). 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](http://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.](https://www.dataiku.com/legal/dataiku-recruitment-scams/) Show more [Apply now >](https://jobicy.com/jobs/152726-senior-infrastructure-engineer-2.md) > Annual salary information is not provided for this position. 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