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We are currently supporting a high-profile client with their Cloud environment and are looking for a Cloud Engineer who can bridge the gap between robust infrastructure and cutting-edge automation. Reporting to the Tech Lead, you will be a key player in managing a multi-cloud environment (GCP & AWS) while driving the evolution of their DevSecOps lifecycle. As a Cloud Engineer, you won't just maintain systems; you will optimize and innovate. You will ensure infrastructure follows global industry standards while pushing the boundaries of what automation and AI can achieve in operations.
Job Responsibility:
Lead the day-to-day operations and performance optimization of GCP, AWS, and on-premises environments
Design and deploy scalable, secure solutions using Terraform, ArgoCD, and Helm
Support the full application lifecycle, troubleshooting OS, network, and application hurdles
Manage critical services including Active Directory, Azure Entra ID, and Cloudflare DNS
Leverage and integrate AI-assisted workflows (like Cursor or Copilot) to enhance debugging and operational efficiency
Partner with internal teams to ensure seamless application onboarding and monitoring via Datadog
Requirements:
5+ years in Cloud Engineering with deep hands-on expertise in GCP (GKE, BigQuery, Vertex AI) and AWS (Lambda, EKS, API Gateway)
Proficiency in Python/PowerShell scripting and a strong command of Linux and Windows environments
Proven track record with Terraform and CI/CD pipelines
Degree in Computer Science, IT, or equivalent professional experience
Nice to have:
Cloud Certifications (GCP/AWS)
Experience with Apache Kafka or RabbitMQ
Familiarity with Agentic AI tools for infrastructure automation