Platform Engineer

• Build and maintain Kubernetes Operators and containerized environments using Kubernetes and Docker.
  
• Develop tools and automation in Go or Python to enhance platform efficiency.
  
• Automate and optimize cloud infrastructure and incident response processes.
  
• Improve CI/CD pipelines (e.g., GitHub Actions, Argo CD) and implement GitOps workflows.
  
• Enhance monitoring, alerting, and observability using tools like Grafana and Prometheus.
  
• Manage the infrastructure lifecycle with Infrastructure as Code (IaC) tools such as Terraform and Crossplane.
  
• Contribute to incident response, troubleshooting, and the development of self-healing capabilities.
  
• Support secure, efficient, and cost-optimized production environments to meet business needs.
  
• Collaborate with cross-functional teams to ensure platform reliability and project success.
  

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or equivalent.
  
• 8+ years of experience in Cloud, DevOps, or SRE roles.
  
• Strong programming skills in Go and Python.
  
• Hands-on experience with Kubernetes, Docker, and Infrastructure as Code (IaC) tools.
  
• Cloud experience, preferably with Azure or GCP.
  
• Familiarity with CI/CD pipelines and GitOps workflows.
  
• Strong problem-solving skills, self-driven, and collaborative mindset.
  
• Ability to work effectively in a fast-paced, team-oriented environment.
  
• Experience with Generative AI tools is a plus.
  

• Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Google Cloud Professional DevOps Engineer.
  
• Experience with additional observability tools (e.g., Loki, Tempo, ELK Stack).
  
• Familiarity with Generative AI frameworks or tools for platform optimization.
  
• Knowledge of security best practices in cloud and containerized environments.