Cloud Engineer for Scalable Infrastructure Design

3 weeks ago


Bengaluru, Karnataka, India Mercedes-Benz Full time

Job Summary:



We are seeking a highly skilled Cloud Engineer with expertise in designing and implementing scalable cloud infrastructure on Google Cloud Platform (GCP). The ideal candidate will have a strong background in DevOps practices, MLOps, and Kubernetes, with hands-on experience in managing GCP services, including Compute Engine, Cloud Storage, BigQuery, and Cloud SQL.



Main Responsibilities:





  • Google Cloud Platform (GCP) Management:

    • Design and deploy scalable cloud infrastructure on GCP, including Compute Engine, Cloud Storage, BigQuery, and Cloud SQL.
    • Optimize cloud infrastructure for performance, security, and cost-efficiency.



  • DevOps:

    • Implement CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build.
    • Automate infrastructure provisioning and application deployment using Infrastructure as Code (IaC) tools like Terraform or Google Cloud Deployment Manager.
    • Monitor system performance and troubleshoot issues to ensure high availability and reliability.



  • MLOps:

    • Support the deployment, scaling, and management of machine learning models on GCP.
    • Work with data scientists to operationalize machine learning workflows and integrate them into production environments.
    • Implement monitoring and logging solutions for machine learning models to ensure they perform optimally.




Qualifications:



We are looking for a candidate with a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. The ideal candidate will have 3-7 years of hands-on experience with Google Cloud Platform (GCP), strong experience with DevOps practices and tools, and proficiency in Kubernetes for container orchestration. Experience with MLOps, including deploying and managing machine learning models in a cloud environment, is also highly desirable.



Preferred Qualifications:



A Google Cloud Professional Architect or Google Cloud Professional Data Engineer certification, experience with additional cloud providers, and knowledge of additional container orchestration tools or serverless architectures are all highly valued.



Benefits:



Mercer-Benz offers a comprehensive benefits package, including employee discounts, health measures, employee phone, meal allowances, pension scheme, hybrid work, mobility offers, employee events, coaching, flexible working hours, accessibility, parking, childcare, and on-site doctor, canteen, and cafe.



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