- Design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform.
- Implement and maintain Kubernetes clusters for containerized applications, ensuring high availability and performance.
- Develop infrastructure as code (IaC) using Terraform for automating cloud resource provisioning and management.
- Collaborate with crossfunctional teams to understand project requirements and provide technical guidance on cloud architecture and best practices.
- Utilize Python for scripting, automation, and integration of various cloud services and tools.
- Optimize BigQuery data pipelines and queries for efficient data processing and analytics in the automotive domain.
- Monitor, troubleshoot, and resolve cloud infrastructure issues, ensuring system reliability and uptime.
- Implement security measures and best practices to safeguard cloud environments and sensitive automotive data.
- Stay updated on emerging cloud technologies and industry trends, evaluating their potential impact on our automotive projects.
- Document architecture designs, configurations, and procedures for knowledge sharing and future reference.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Minimum of three years of experience as a Cloud Engineer or similar role, preferably in the automotive industry.
- Strong proficiency in Google Cloud Platform services, particularly Kubernetes, Terraform, and BigQuery.
- Solid programming skills in Python, with experience in scripting and automation.
- Handson experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
- Proficiency in infrastructure as code (IaC) practices and tools, with a focus on Terraform.
- Experience with data engineering and analytics, preferably using BigQuery for processing and analyzing large datasets.
- Familiarity with cloud security best practices and compliance standards, especially in handling sensitive automotive data.
- Excellent problemsolving skills and the ability to troubleshoot complex cloud infrastructure issues.
- Strong communication and collaboration skills, with the ability to work effectively in a crossfunctional team environment.
- Google Cloud certification (e.g., Professional Cloud Architect, Associate Cloud Engineer).
- Experience with other GCP services such as Cloud Storage, Pub/Sub, Dataflow, and AI/ML.
- Knowledge of software development methodologies and version control systems (e.g., Git).
- Familiarity with CI/CD pipelines for automated software delivery and deployment.
- Experience working with agile development methodologies and DevOps practices.
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Cloud Engineer - Chennai, India - LATS
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Description
Job Description :
We are seeking a skilled GCP Cloud Engineer with a focus on automotive technology to join our dynamic team.
The ideal candidate will have a strong background in Google Cloud Platform (GCP) services, particularly in Kubernetes, Terraform, Python, and BigQuery.
With at least three years of experience in the automotive industry, you will play a crucial role in designing, implementing, and optimizing cloud solutions tailored to our automotive technology projects.
Responsibilities :
Requirements :
Preferred Qualifications :
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