Highly Skilled Cloud Solutions Architect

22 hours ago

Lucknow, Uttar Pradesh, India beBeePlatform Full time ₹ 18,00,000 - ₹ 25,00,000
Cloud Platform Engineer Opportunity

About this role:

We are seeking an experienced Cloud Platform Engineer with hands-on expertise in Kubernetes, Grafana, and Cloud technologies.

  • Build reusable workflows using Go to empower developers to provision infrastructure, deploy applications, manage secrets, and operate at scale without needing to become Kubernetes or cloud experts
  • Drive platform standardization and codification of best practices across cloud infrastructure, Kubernetes, and CI/CD systems
  • Create developer-friendly APIs and experiences while maintaining a high bar for reliability, observability, and performance
  • Design, develop, and maintain Go-based platform tooling and self-service automation that simplifies infrastructure provisioning, application deployment, and service management
  • Write clean, testable code and workflows that integrate with internal systems such as GitLab, ArgoCD, Port, AWS, and Kubernetes
  • Partner with product engineering, SREs, and cloud teams to identify high-leverage platform improvements and enable adoption across brands
  • Establish templates, reusable libraries, and workflows to promote consistency and scalability
  • Maintain observability, alerting, and health monitoring for platform systems and workflows
  • Develop with an automation-first mindset eliminating toil and manual operations through codification
  • Collaborate on IAM, security, cost, and scalability decisions with AWS-native and Kubernetes-native architectures

Expertise you'll bring:

  • Represent Cloud Engineering in strategic discussions and contribute to shaping the roadmap and team vision
  • 5-7+ years in a professional cloud computing role with Kubernetes, Docker, and Infrastructure-as-Code experience
  • A Bachelor's degree in Computer Science or equivalent work experience
  • Proficient in Golang for backend automation and system tooling
  • Experience operating in Kubernetes environments and building automation for multi-tenant workloads
  • Deep experience with AWS (or equivalent cloud provider), infrastructure as code (e.g., Terraform), and CI/CD systems like GitLab CI
  • Strong understanding of containers, microservice architectures, and modern DevOps practices
  • Familiarity with GitOps practices using tools like ArgoCD, Helm, and Kustomize
  • Strong debugging and troubleshooting skills across distributed systems
  • Excellent written and verbal communication skills, with a product mindset

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