Infrastructure Automation Specialist

24 hours ago

Vadodara, Gujarat, India beBeeDevops Full time ₹ 12,00,000 - ₹ 20,00,000
DevOps/Platform Engineer

We are seeking a seasoned DevOps/Platform Engineer to drive automation, platform reliability, and robust software delivery pipelines using conventional practices and AI/ML techniques in global, regulated enterprises.

The ideal candidate will have deep experience with infrastructure as code tools (Terraform, Ansible, CloudFormation), scripting languages (Python, Bash), and AI-enhanced automation. They will also be responsible for building and maintaining continuous integration/continuous deployment (CI/CD) pipelines and cloud infrastructure (AWS, Azure, GCP).

  • Key Responsibilities:
  • Design, deploy, and manage CI/CD pipelines and infrastructure automation, leveraging AI for efficiency.
  • Implement infrastructure as code and environment provisioning, including AI-powered script and configuration generation.
  • Monitor and optimize system reliability, availability, and security—using AI/ML for predictive alerts and intelligent scaling.
  • Establish DevSecOps best practices, compliance controls, and MLOps (CI/CD for ML workflows).
  • Troubleshoot complex infrastructure, deployment, and ML model serving issues.

Core Technical & AI/ML Skills:

  • Deep experience with IaC tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and AI-enhanced automation.
  • Build and maintain CI/CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD).
  • Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker).
  • Logging, monitoring, and observability (Prometheus, Grafana, ELK/EFK), including AI-driven log analysis and incident prediction.
  • Experience supporting MLOps: deploying ML workflows, ensuring model traceability and compliance.
  • Use of AI assistants and workflow tools to script, manage incidents, and enforce security policies (OPA, Sentinel).

Soft Skills:

  • Influential in driving DevOps culture change.
  • Strong communicator across development, security, and business teams.
  • Mentorship and process rigor, open-minded to AI-driven productivity improvements.
  • High accountability, initiative, and a proactive approach to emerging technologies.

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