Apply for GCP Cloud Engineer Senior Role at Luxoft

Romania Job Openings

Luxoft

GCP Cloud Engineer Senior

Bucharest

October 8, 2024

Bucharest, Romania

Dev Ops

BCM Industry

10/10/2024

Req. VR-108497

Project description

Our AFCC team is responsible for protecting Deutsche Bank from financial and reputational losses incurred by financial crimes by assessing, controlling, and mitigating risks. Risk types related to Anti-Financial Crime are consolidated in a comprehensive and effective risk management framework that covers Anti-Money-Laundering, Sanctions & Embargoes, Anti-Bribery & Corruption as well as Anti-Fraud & Investigations.

Responsibilities

Previous relevant experience as a Cloud Engineer, primarily working with Google Cloud Platform (GCP).

Infrastructure as Code (Ia C): Strong proficiency with Terraform for managing and provisioning cloud resources.

CI/CD Pipelines: Experience in building and maintaining CI/CD pipelines using tools like Git Hub Actions for automated deployment and testing.

Data Processing & Workflow Orchestration:

Experience using Dataproc for distributed data processing.

Knowledge of Cloud Composer/Airflow for workflow orchestration.

Data Storage & Analysis:

Experience with Big Query for data warehousing, analytics, and querying.

Familiarity with GCS (Google Cloud Storage) for object storage.

Access Control & Security:

Strong understanding of IAM (Identity and Access Management), ACLs, and other security best practices.

Experience in setting up fine-grained access controls for secure data handling.

Monitoring & Notifications: Experience with GCP Monitoring & Alerting Tools for infrastructure and application monitoring.

Networking: Understanding of VPC (Virtual Private Cloud), firewall rules, and VPN within GCP.

Scripting & Automation: Proficiency in Python, Shell scripting, or similar languages for automation and tooling.

Version Control & Collaboration: Familiarity with Git and experience in collaborative development workflows.

Machine Learning & AI Services: awareness of Vertex AI for machine learning model training, deployment, and management.

Skills

Must have

>5 years exp

Infrastructure as Code (Ia C): Strong proficiency with Terraform for managing and provisioning cloud resources.

CI/CD Pipelines: Experience in building and maintaining CI/CD pipelines using tools like Git Hub Actions for automated deployment and testing.

Data Storage & Analysis:

Experience with Big Query for data warehousing, analytics, and querying.

Access Control & Security:

Strong understanding of IAM (Identity and Access Management), ACLs, and other security best practices.

Experience in setting up fine-grained access controls for secure data handling.

Monitoring & Notifications: Experience with GCP Monitoring & Alerting Tools for infrastructure and application monitoring.

Networking: Understanding of VPC (Virtual Private Cloud), firewall rules, and VPN within GCP.

Scripting & Automation: Proficiency in Python, Shell scripting, or similar languages for automation and tooling.

Version Control & Collaboration: Familiarity with Git and experience in collaborative development workflows.

Machine Learning & AI Services: awareness of Vertex AI for machine learning model training, deployment, and management.

Nice to have

N/A

Other

Languages
English: B2 Upper Intermediate

Seniority
Senior

We regret to inform you that this job opportunity is no longer available as it has expired

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