Platform Engineer

Platform Engineering* + 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

AI/ML Integration (Optional)* + 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

+

DevOps \& Automation* + 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.

Security \& Compliance* + 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)