C
GCP DevOps Engineer
В офисеПолная занятостьDevOps & SRE
Join a specialist cloud engineering team designing, migrating, securing, and optimizing Google Cloud environments for government, defense, and enterprise clients.
Обязанности
- Architect, deploy, and manage complex GCP environments for strategic clients.
- Establish secure and compliant GCP landing zones based on Fast Fabric principles.
- Develop, maintain, and optimize automated Terraform infrastructure.
- Design and improve CI/CD and continuous testing pipelines.
- Apply cybersecurity, operational risk, security policy, and regulatory requirements to cloud environments.
- Migrate workloads from on-premises data centers to GCP and optimize performance, cost, and scalability.
- Support client adoption of GCP AI/ML capabilities, including emerging generative AI services.
- Design, implement, and troubleshoot secure GCP networking solutions.
- Advise and mentor clients on GCP architecture, implementation, and best practices.
- Research and integrate new GCP services and products.
Требования
- At least 3 years of hands-on experience as a DevOps or Cloud Engineer on a major cloud platform.
- Advanced Terraform experience, including building, maintaining, and troubleshooting complex infrastructure-as-code modules and environments.
- Experience with on-premises infrastructure, including virtualization, storage, and networking.
- Strong networking knowledge covering TCP/IP, routing, firewalls, VPNs, load balancing, and cloud networking.
- Expertise in CI/CD methodologies and tools such as Jenkins, GitLab CI/CD, Cloud Build, or ArgoCD.
- Experience with containers and orchestration, including Kubernetes, GKE, EKS, AKS, Cloud Run, or serverless platforms.
- Hands-on Linux systems administration experience.
- Ability to learn and specialize rapidly in GCP if primary experience is with another cloud.
- Experience delivering complex technical projects or programs.
- Strong communication, collaboration, problem-solving, and continuous-learning skills.
Будет плюсом
- GCP Professional Cloud Architect certification, or commitment to obtain it within an agreed timeframe.
- AWS or Azure professional certification with a commitment to GCP certification.
- Experience with GCP AI/ML services such as Vertex AI, AI Platform, or BigQuery ML.