Senior Cloud Engineer

• You have a data-driven approach to troubleshooting and system scaling.
• You are comfortable working in a fast-paced SaaS environment.
• You have reached a level of seniority where you can mentor others and make informed architectural decisions.
• You are curious about the intersection of AI and Infrastructure, looking for ways to integrate automation into daily operations.

• Infrastructure Management: Design and deploy cloud-native solutions using Kubernetes and Terraform to support a high-traffic microservices architecture.
• CI/CD & Delivery: Manage deployment pipelines and infrastructure synchronization using GitHub and ArgoCD.
• Observability: Develop and implement monitoring and logging strategies using Grafana and Loki to ensure high system availability.
• Automation & Efficiency: Optimize internal workflows through n8n and explore agentic AI tools to reduce manual overhead and improve developer experience.
• Collaboration: Partner with development squads to facilitate production delivery, performing capacity management and performance optimization.
• Security & Compliance: Maintain best practices for data protection and system security across our AWS environments.

• Containerization: Strong experience with Docker and Kubernetes.
• IaC & Automation: Proficiency in Terraform for infrastructure provisioning and ArgoCD for GitOps-based delivery.
• Observability Stack: Hands-on experience with Grafana and Loki (or similar ELK/Prometheus stacks).
• Cloud Platforms: Proven background in AWS.
• Scripting & Tooling: Strong command of Bash; familiarity with PHP or Go is a plus. Experience using Cursor or similar AI-assisted coding tools is encouraged.
• Networking: Solid understanding of TCP/IP, VPCs, and cloud networking security.

MotorK