GCP Cloud Engineer Senior

About Luxoft
Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 23 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications. DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.
​​​​​​​Luxoft Romania has been established since 2001. We currently have approximately 2500 employees working from different locations in the country.

• >5 years exp
Infrastructure as Code (IaC): Strong proficiency with Terraform for managing and provisioning cloud resources.
CI/CD Pipelines: Experience in building and maintaining CI/CD pipelines using tools like GitHub Actions for automated deployment and testing.
Data Storage & Analysis:
• Experience with BigQuery 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.

Previous relevant experience as a Cloud Engineer, primarily working with Google Cloud Platform (GCP).
Infrastructure as Code (IaC): Strong proficiency with Terraform for managing and provisioning cloud resources.
CI/CD Pipelines: Experience in building and maintaining CI/CD pipelines using tools like GitHub 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 BigQuery 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.