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Ekimetrics

Analytics consultancy delivering ROI and attribution

Cloud Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeParis, France€48k - €58k /yr

About the Job

Requirements

  • Have at least 3 years of Platform Engineering or Cloud Engineering experience, including significant experience in large-scale production environments.
  • Have strong Terraform skills and apply infrastructure-as-code best practices within the team.
  • Have proven expertise in Azure and operational proficiency in at least one other cloud provider, GCP or AWS.
  • Have significant experience designing and operating a production IAM layer, including identity federation with Keycloak or an equivalent, OIDC, OAuth2, and SAML protocols, and multi-environment integration.
  • Be proficient in cloud security practices, including secrets management with Vault or an equivalent, cloud IAM policies such as Azure Entra ID and GCP IAM, Kubernetes RBAC, and network segmentation.
  • Be autonomous and impact-oriented, and comfortable in a multi-project, international environment.
  • Have a good level of French and English, written and spoken.
  • Hold an engineering-school or equivalent university diploma, or have significant experience in lieu of a degree.

Responsibilities

  • Design and guide the evolution of cloud architectures across Azure, GCP, and AWS, including technical choices, infrastructure patterns, and governance.
  • Define and maintain infrastructure-as-code standards with Terraform, and promote best practices within the team.
  • Guide the evolution of data and application components while ensuring their availability, performance, and scalability.
  • Define and evolve the platform's CI/CD architecture, including standards, deployment patterns, and GitOps strategies.
  • Identify high-impact automation opportunities and lead them from start to finish.
  • Continuously challenge and improve infrastructure-as-code, release management, and delivery practices.
  • Contribute to the platform technical roadmap with the Lead Platform Engineer.
  • Define and guide the platform IAM strategy, including RBAC modeling, access policies, least privilege, and identity and secrets governance using Vault or an equivalent.
  • Design and operate the identity federation layer using Keycloak, OIDC/OAuth2/SAML protocols, and integration with cloud environments including Azure Entra ID and GCP IAM.
  • Lead major incident management, facilitate post-mortems, and structure remediation plans.
  • Design and maintain a robust security posture in collaboration with dedicated internal teams.
  • Promote Platform Engineering practices within the team through technical reviews, practice-sharing, and mentoring.

Desired Qualifications

  • Have multi-cloud experience with Azure plus GCP or AWS in a production environment.
  • Have experience designing or facilitating an Internal Developer Platform such as Backstage.
  • Have deep Kubernetes expertise, including architecture, security, resource optimization, multi-tenancy, and production operations.
  • Have experience implementing reliability engineering practices such as advanced observability, incident management, or chaos engineering.
  • Have experience using generative AI tools to automate workflows or interact with other platforms through MCPs.
  • Have experience in a B2B SaaS environment or a fast-growing technology scale-up.
  • Hold a cloud security or IAM certification, such as Azure Security Engineer Associate, Certified Kubernetes Security Specialist (CKS), or equivalent.
  • Have knowledge of Databricks products.

About the Company

Ekimetrics

Analytics consultancy delivering ROI and attribution

Ekimetrics delivers data science and business analytics consulting to help organizations improve ROI and grow. It combines advanced analytics with strategic business advice, using a proprietary tech stack to deploy and operate data solutions and perform data management, often serving CMOs and CFOs across industries. Its consultants bring both analytical and business-strategy skills, ensuring insights are practical and actionable and can be implemented. The company differentiates itself through this dual expertise, its role as data stewards that handle data management and attribution, and its emphasis on training to keep its team skilled at scale. Its goal is to help clients make data-driven decisions, optimize marketing attribution and ROI, and build capable analytics capabilities globally.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$26.4M
Headquarters
Paris, France
Founded
2006

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