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# Senior Cloud Engineer

- **Company:** Proudtobebunge
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Bash Shell, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Continuous Integration, Data Infrastructure, DevOps, Github, Python (Programming Language), Public Key Infrastructure, Software Tools, Cloud Services, Prometheus, Datadog, Scripting, Google Cloud, Cloud Platform System, Data Ingestion, Cloud Monitoring, Grafana, Apache Spark, Gitlab, Kubernetes, Infrastructure Automation Frameworks, Google Cloud Functions, Sentry, Enterprise Integration, Terraform, Splunk, Data Pipelines, Docker
- **Published:** September 8, 2026
- **Apply:** https://www.recruit.net/job/senior-cloud-engineer-jobs/0522FA8DDFFE4061

## About the Role

Data Platform using DRS and Backup plans.Stay up-to-date with emerging cloud technologies and DevOps practices and provide recommendations for continuous improvement.Mentor and coach other DevOps and Cloud Engineers professionals on automations and Cloud standards and practicesFoster a culture of sharing, re-use, design for scale stability, and Platform Engineering mindset.Minimum Requirements:Post graduate degree in STEM field with 5 years' experience as DevOps or Dat EngineerAt least 5 years proven, hands-on DevOps engineer experience with major public cloud services, including GCP services, such as Compute Engine, GKE, Big Query, Cloud Run and Cloud Composer/workflow.At least 2 years of experience creating and maintaining CI/CD pipelinesGoogle Cloud Professional certifications (like Architect, Data Engineer, or DevOps) is a plusDemonstrable Terraform IaC experience building Cloud automationDemonstrable experience managing large Cloud solutions using GCP/AWS or
AzureGoogle Cloud Professional certification (like Architect, Data Engineer, or DevOps) is a plus.Experience using AI tools in managing Cloud resources and developing CI/CD pipelinesHave implemented Kubernetes and Docker (or similar container engine) solutions.Have built large-scale monitoring solutions with Google Cloud Monitoring or other tools (e.G., Datadog, Sentry, Prometheus, Grafana or Splunk). Proven knowledge of Python and any other scripting language (e.G., Bash). If you have experience building Data Platform products and with big data technologies like Spark, it is a plus.Demonstrable Terraform experience.Experience building Pipeline using Azure Dev (preferred),GitLab, or GitHub suites.Conceptual understanding of data mesh and Lake-house architecture in Cloud.You thrive in a dynamic, global, ever-changing atmosphere. You are adaptable, resilient, and ready to transform teams and processes.You can communicate complex, technical concepts to executive staff

## Description

Join forces with our Cloud CoE, DevOps CoE, Data Engineers, and Data Scientist folks to understand their requirements and build well-architected, automated solutions, such as CI/CD, data pipelines, Data Quality, observability tools or deployment infrastructure using Google Cloud Platform.Working with data product and applications teams, consult, develop, and maintain infrastructure-as-code (IaC) templates using Terraform to provision resources, manage configurations, and ensure consistency across the cloud use cases, from foundational provisioning of application infrastructure to desired state configuration to platform and application components.Lead efforts to architect and maintain Bunge Cloud Platform configurations (Ingestion pipelines, Lake-house architecture, observability tools), ensuring secure integration with the company applications.Design and implement a platform PKI and Observability dashboards using Cloud native tools and ensure the highest availability of the Bunge


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