Platform Engineer

Department: Z- S&P SPGI ES Tech

Experience: 5+

• • Strong automation of configuration management
  • Cloud-native architecture on AWS or Azure
  • Infrastructure as Code (IaC): Terraform
  • Strong understanding of Ansible and Ansible Playbooks
  • CI/CD design GitHub Actions (preferable), GitLab CI, Azure DevOps with a strong understanding of security within CI/CD
  • Observability: Prometheus, Grafana, Splunk, OpenTelemetry
  • Cost optimization and performance analysis

• • Deploying machine learning models into production using MLOps
  • Automation of model retraining and monitoring (drift detection, alerting)
  • AI-driven anomaly detection, performance prediction, and capacity forecasting
  • Experience in AIOps practices

• • Strong scripting in Python, Bash, PowerShell
  • Event-driven automation with tools like Airflow or Prefect
  • Auto-scaling infrastructure based on AI-driven forecasting and Machine Learning
  • Secrets and configuration management: Secrets Manager, Azure Vault, CyberArk
  • Experience in working with and creating Ansible playbooks for automated configuration management at enterprise scale.

• • Deep understanding of cloud-native security best practices and implications
  • DevSecOps experience and driving security as a priority in design and build processes
  • Auditability and compliance support for ML pipelines
  • Experience in integrating security practices throughout the SDLC lifecycle (ex: scanning and policy enforcement)