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.
Your Mission
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.
Key Responsibilities:
Multi-Cloud Mastery: Lead the day-to-day operations and performance optimization of GCP, AWS, and on-premises environments.
Infrastructure as Code: Design and deploy scalable, secure solutions using Terraform, ArgoCD, and Helm.
CI/CD & DevSecOps: Support the full application lifecycle, troubleshooting OS, network, and application hurdles.
Identity & Connectivity: Manage critical services including Active Directory, Azure Entra ID, and Cloudflare DNS.
AI Integration: Leverage and integrate AI-assisted workflows (like Cursor or Copilot) to enhance debugging and operational efficiency.
Monitoring: Partner with internal teams to ensure seamless application onboarding and monitoring via Datadog.
Your Profile
You are a seasoned engineer who thrives in a diverse, international setting and enjoys mentoring others as much as you enjoy deep-diving into code.
Experience: 5+ years in Cloud Engineering with deep hands-on expertise in GCP (GKE, BigQuery, Vertex AI) and AWS (Lambda, EKS, API Gateway).
Tech Stack: Proficiency in Python/PowerShell scripting and a strong command of Linux and Windows environments.
DevOps Mindset: Proven track record with Terraform and CI/CD pipelines.
Bonus Points: * Cloud Certifications (GCP/AWS).
Experience with Apache Kafka or RabbitMQ.
Familiarity with Agentic AI tools for infrastructure automation.
Education: Degree in Computer Science, IT, or equivalent professional experience.